{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from lifelines import CoxPHFitter\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing the proportional hazard assumptions\n",
    "\n",
    "This Jupyter notebook is a small tutorial on how to test and fix proportional hazard problems. \n",
    "\n",
    "The proportional hazard assumption is that _all_ individuals have the same hazard function, but a unique scaling factor infront. So the _shape_ of the hazard function is the same for all individuals, and only a scalar infront changes. \n",
    "\n",
    "$$h_i(t) = a_i h(t)$$\n",
    "\n",
    "At the core of the  assumption is that $a_i$ is not time varying, that is, $a_i(t) = a_i$. Further more, if we take the ratio of this with another subject (called the hazard ratio): \n",
    "\n",
    "$$\\frac{h_i(t)}{h_j(t)} = \\frac{a_i h(t)}{a_j h(t)} = \\frac{a_i}{a_j}$$\n",
    "\n",
    "is constant for all $t$. In this tutorial we will test this non-time varying assumption, and look at ways to handle violations. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<lifelines.CoxPHFitter: fitted with 432 observations, 318 censored>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from lifelines.datasets import load_rossi\n",
    "rossi = load_rossi()\n",
    "cph = CoxPHFitter()\n",
    "\n",
    "cph.fit(rossi, 'week', 'arrest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<lifelines.CoxPHFitter: fitted with 432 observations, 318 censored>\n",
      "      duration col = 'week'\n",
      "         event col = 'arrest'\n",
      "number of subjects = 432\n",
      "  number of events = 114\n",
      "    log-likelihood = -658.748\n",
      "  time fit was run = 2019-04-03 02:39:31 UTC\n",
      "             model = untransformed variables\n",
      "\n",
      "\n",
      "---\n",
      "       coef exp(coef)  se(coef)      z     p  -log2(p)  lower 0.95  upper 0.95\n",
      "fin  -0.379     0.684     0.191 -1.983 0.047     4.398      -0.755      -0.004\n",
      "age  -0.057     0.944     0.022 -2.611 0.009     6.791      -0.101      -0.014\n",
      "race  0.314     1.369     0.308  1.019 0.308     1.698      -0.290       0.918\n",
      "wexp -0.150     0.861     0.212 -0.706 0.480     1.058      -0.566       0.266\n",
      "mar  -0.434     0.648     0.382 -1.136 0.256     1.965      -1.182       0.315\n",
      "paro -0.085     0.919     0.196 -0.434 0.665     0.589      -0.469       0.299\n",
      "prio  0.091     1.096     0.029  3.194 0.001     9.476       0.035       0.148\n",
      "---\n",
      "Concordance = 0.640\n",
      "Log-likelihood ratio test = 33.266 on 7 df, -log2(p)=15.370\n"
     ]
    }
   ],
   "source": [
    "cph.print_summary(model=\"untransformed variables\", decimals=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking assumptions with `check_assumptions`\n",
    "\n",
    "New to lifelines 0.16.0 is the `CoxPHFitter.check_assumptions` method. This method will compute statistics that check the proportional hazard assumption, produce plots to check assumptions, and more. Also included is an option to display advice to the console. Here's a breakdown of each information displayed:\n",
    "\n",
    " - Presented first are the results of a statistical test to test for any time-varying coefficients. A time-varying coefficient imply a covariate's influence _relative to the baseline_ changes over time. This implies a violation of the proportional hazard assumption. For each variable, we transform _time_ four times (these are common transformations of time to perform). If _lifelines_ rejects the null (that is, _lifelines_ rejects that the coefficient is not time-varying), we report this to the user.\n",
    " - Some advice is presented on how to correct the proportional hazard violation based on some summary statistics of the variable. \n",
    " - As a compliment to the above statistical test, for each variable that violates the PH assumption, visual plots of the the _scaled Schoenfeld residuals_ is presented against the four time transformations. A fitted lowess is also presented, along with 10 bootstrapped lowess lines (as an approximation to the confidence interval of the original lowess line). Ideally, this lowess line is constant (flat). Deviations away from the constant line are violations of the PH assumption. \n",
    " \n",
    "####  Why the _scaled Schoenfeld residuals_?\n",
    " \n",
    "This section can be skipped on first read. Let $s_{t,j}$ denote the scaled Schoenfeld residuals of variable $j$ at time $t$, $\\hat{\\beta_j}$ denote the maximum-likelihood estimate of the $j$th variable, and $\\beta_j(t)$ a time-varying coefficient in (fictional) alternative model that allows for time-varying coefficients. Therneau and Grambsch showed that. \n",
    "\n",
    "$$E[s_{t,j}] + \\hat{\\beta_j} = \\beta_j(t)$$\n",
    "\n",
    "The proportional hazard assumption implies that $\\hat{\\beta_j} = \\beta_j(t)$, hence $E[s_{t,j}] = 0$. This is what the above proportional hazard test is testing. Visually, plotting $s_{t,j}$ over time (or some transform of time), is a good way to see violations of $E[s_{t,j}] = 0$, along with the statisical test. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The ``p_value_threshold`` is set at 0.05. Even under the null hypothesis of no violations, some\n",
      "covariates will be below the threshold by chance. This is compounded when there are many covariates.\n",
      "Similarly, when there are lots of observations, even minor deviances from the proportional hazard\n",
      "assumption will be flagged.\n",
      "\n",
      "With that in mind, it's best to use a combination of statistical tests and visual tests to determine\n",
      "the most serious violations. Produce visual plots using ``check_assumptions(..., show_plots=True)``\n",
      "and looking for non-constant lines. See link [A] below for a full example.\n",
      "\n",
      "<lifelines.StatisticalResult>\n",
      "         test_name = proportional_hazard_test\n",
      " null_distribution = chi squared\n",
      "degrees_of_freedom = 1\n",
      "\n",
      "---\n",
      "           test_statistic      p  -log2(p)\n",
      "age  km             11.03 <0.005     10.12\n",
      "     rank           11.09 <0.005     10.17\n",
      "fin  km              0.02   0.89      0.17\n",
      "     rank            0.02   0.90      0.16\n",
      "mar  km              0.60   0.44      1.19\n",
      "     rank            0.67   0.41      1.27\n",
      "paro km              0.12   0.73      0.45\n",
      "     rank            0.14   0.71      0.49\n",
      "prio km              0.02   0.88      0.18\n",
      "     rank            0.02   0.88      0.18\n",
      "race km              1.44   0.23      2.12\n",
      "     rank            1.46   0.23      2.14\n",
      "wexp km              7.48   0.01      7.32\n",
      "     rank            7.18   0.01      7.08\n",
      "\n",
      "\n",
      "1. Variable 'age' failed the non-proportional test: p-value is 0.0009.\n",
      "\n",
      "   Advice 1: the functional form of the variable 'age' might be incorrect. That is, there may be\n",
      "non-linear terms missing. The proportional hazard test used is very sensitive to incorrect\n",
      "functional forms. See documentation in link [D] below on how to specify a functional form.\n",
      "\n",
      "   Advice 2: try binning the variable 'age' using pd.cut, and then specify it in `strata=['age',\n",
      "...]` in the call in `.fit`. See documentation in link [B] below.\n",
      "\n",
      "   Advice 3: try adding an interaction term with your time variable. See documentation in link [C]\n",
      "below.\n",
      "\n",
      "\n",
      "2. Variable 'wexp' failed the non-proportional test: p-value is 0.0063.\n",
      "\n",
      "   Advice: with so few unique values (only 2), you can include `strata=['wexp', ...]` in the call in\n",
      "`.fit`. See documentation in link [E] below.\n",
      "\n",
      "---\n",
      "[A]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html\n",
      "[B]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Bin-variable-and-stratify-on-it\n",
      "[C]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Introduce-time-varying-covariates\n",
      "[D]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Modify-the-functional-form\n",
      "[E]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Stratification\n",
      "\n"
     ]
    },
    {
     "data": {
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vMt/nyFfqqv0O1UVxf+jPAreSvy/VNtpCf/v+GHgR+Tf8QET8X/L9RJ9IKS11zKTyfbDWiZny6TV78FxOkXsQfSX5nsZq37kO8m9o+X1OpfsFj1Y6+QKQUjodEV8iNw2c/f5fR/69BnhdRLxunlVfyO+D1NK84qRVI6U0klL6UErp11JKt5J/rG8l39QP+WDyLbMWKwWB4ZTS2YW+Z0RsIJ9V+13yzfK1DlYuqzF9tk0LrVOh/Obw8gFmL7lheJaKAXWxUkqfTym9O6X0MymlJ5NvZi4fd+vFEfHUsv+vKPv7BEtT6ypP6Yzp7N/Cx5b9XWubQb53AC7e1htY3MmpavvIfNens+pcldVjf6ulWftjtasKUL91/8/MJPxPIDfX/BDwSOQu9F8ZEYtJbEvbreo2S3lg46rjp9VD5K7v7wd+kXxvTK1Mc0G/fcVV3peQ7+vqITe5fif5SvVDEfHuiPi2BVc8W8g++FDZ300brDsifoJ8RfnFzC8Rmb29S79pVTt+qDFPI34fpJbmFSetWsUBxF9FxBfITbLWAt8ZERtSjYFZF+Ct5KtbAH9Nbibz7+RgPJZSyjdPRHyF3DvfQpvulB8Afyu5mc58VDoYqNYEoyFSSkeAnyzGR/mR4uUfZpFX/Bpgsdus/LP7U/KN1K2uvM4vI3emMB8LPulQaOT+OGeTwDLl634ruUOQ+bgoIUspnSA3L7uF3JPfLeSz/V3kHjBvBn4+Ip6XUvrneb7HRW+xiGXqqujp8y/JV4MmyJ3yvJ+8zR4pXRGLiK9nZjy3BTdbTCn9QXHF7kfIzWC/nZy8XEnuvvv2iHgn8F+rNRur9TaLXK5hIuJGcq+CXeTf9t8CPkpuCv1o0SyOiPhxZk5K1bOZaEn5d+Q3gD+b53L17mFQahoTJ616KaV7I+Kfge8gX1l4HDNnZE8Wz/0R0buQq07F/SDPL/79s5TSC6rM/tgq06o5Wf53SunQIsooP7C7ssa8tabX0x8ykziVdylevs5XNa46F1nINoOZM8DlCXmpd6og30R94JKlWk/5tj+3THVu1f2xfN2Hl7ruKaV95M44iIjHkHu8ezHwHPL+8lcR8biU0tg8i3ykWK7qNomILqpfGZkum7ejSsJxycCvZb6TmfvodqeU/qjCfEu+QpNSOkm+ov+7xT1j28n3Dr6UvC1+gnyy6m0LKLb8e1prHyu/urPsV/IquJ18vDYFPD3NPXQCVN/epe/dFVXmKak0T/l3ZGqF/KZJdWVTPbWL8pu2y88w7i+eg5nxPObr8eSegyB3QDGn4mxh3wLLLvnXsr8XWr+Se8v+/uYa89aaXk+VPpMHmQnyT2tcdWYUZ8y/UPw7e5yfi0TEleT7m6BsWxdngUv30z21zh0FLJdS99Gw+P2tllbdH+vxXZtTSulMSul9KaXnMtPZwOYFvk9puz2xuOJTyTdSvcnwo2V/Vzuhc2OVadvK/q7428fF940tWdEh0L0ppV8lX4Ev3etVbeyzuZQf8D+lxrzl0++tONfyKm3vf6uSNEH17V36Ldpa/GbNqWh+XqlzmQeBoeLv5fp9kFqaiZNWveKAtdScLnFxT28fYOZA8RUsTPkV22pnZ1+ywHLLfYSZZlA/M7sHunnaz0wi8oJKZUTEFvKgrou2wOSgPMhfGCS3OANeGkj25oi4eSl1WoIPFc/XRUS1BO4n51im5P3F8zXA8+pUr2WTUnoY+GTx7w8X+0S9NWx/XKB/JQ9QDLkp6WJPdtTykbK/F9JhwoeL5z5yU8JKfrzKNCj7rlE9Mf0vVabV/O0resf8/2rUZdGKHhJL67KgjidSSsfJ494B/FBEDFSZvbQO0+Tmcc1Q2t4V40zRU+BzK03n4v2uWuuIF1ChmV/RA2ZpwOenRcSOueaTVjMTJ61IEdEXEZ+JiOfOI5l4PTPdDH+8aPoBQErpC+SxniD3gPU/qrzn2ogovzn2EDNJ14vmShoi4jnkJiWLUvRO9/bi3x3A7xVNcSrVcSAifmZWGePkQXgh36z+S3Ms10VuOrfUnrheFxG/FRFbq80UEdcAv1b20vtmzfJbzNyT8mfF/JXKunrBtZyfPcw0a/r9iLjk7Hxx4PCLxb8nuLSb6LeSB4gF+F+1DjQi4jsi4umLr3Jd/ErxvI7cnKziQWlEdEbEC2p93uUavD/OW5Gwv7H4dwvw5xFR8ab2iOiJiJdGRE/Za0+KuYc9KFeeDFbrHn22PyaP4wXwmxGxeY46PZ3cw2c1nySPKwfwqiLBmV3OC8n3Z1XyhbK/b68wz68z02vpgkXE82ts/2uZ+V1fyHYs+d3i+bHk39W5fr//GzPdeL8/pfSVRbxPPZS29+Pn6hCj2E7/m+odcLyPmXtfX1u0hJhdzuOBWj3l/Tp5/wngL4v72OYU2XMi4ok1ypRWjmYPJOXDx2Ie5LOupUH6jgO/B/wY+T6mbyQ3I9hNPkgozTcGPHmOsq4gn2kuzfeP5HsRnkK+UvUD5AP5o1w6mOffli33IfK4UTvJ3cX+ETnAPEAOWJUGpLylrIxb5pi+dtZ6HCRfHfsOcnfXTydf1foL8tWpk3OUMTBrHf8CeBb5wOb5zAwE+9myea5ZxOfyJmYGi/ww+aD4e4ttsoN8RvQtzIxwn4C7KpT1i2XzDJM7V/juYp2/A/gp4O+BL86x7OFK23vWfHeU3qPC9F8rq8Ph4j2/udi/3lBs70ROsJ5doYwfKLZHIjcteif5oHQnuRngDwC/Sm4+lICXzlFGqQ531FifO0t1rTB9HzUGwJ31OSZyD1u/Wrbtv418NeId5GQxAdtnLX9N2fK3z1F+Q/bHhWy7Yt4gj+FUWubLxT68q1j3byf/NryLfNUsAX1ly99evPYv5APQ55CvrH4LcBvwV2Vl/wsQC/z8XlW2/HHgZ8r2x18jJ1aHqfJ7U5Tzp2Xl/D153LRvAr4f+JNif/6nSp8h+crHV4tpk+SOC76HvE8/n5lBlCuWUev7V6zHmaI+P8nM790zgF9gZnDVBDx3EftFJ7n3w1IZHyc3+dtRrMudzAyOfhrYWqGcw9W2dT0exWdcqucjxT75tGK/+ilyjJm9vS/5vpB7fCwv5xfITR5vJg+wfKp4vVTe3gr1eWlZOY+Sf9NL+9DN5H39TeSENgHfv1zbxoePRj+aXgEfPhbzIHdPe6Lsx7vW4wjwnVXK+zpyU51a5dw+a7mryQdXleb/MnmgxYrBlRqJUzFPH/ngcj7r+qUKZWyrsc3ezcyB36IOVMkHdpML+FzeDXRXKe/V5B6ZqpVxeI7lKm7vWfPdUSqnwvQoDgqqvf854AU13udZ5ARkPtvkx+ZYvjTtjhrvc2elbVJM31dM3zePz/IXyYlerfqOA9fNWvaasum3Vyh/2ffHhWy7svm7yFcKp6rUrfQYAS4rW/b2eSyTyPfKfO1CP79inrdWKfdh8kH2Yars/+STRfdVKefD5N+tip8hObk4V6WMvcVnXK2MO0rTq3yHqz0mgZ9fzH5RvMdjmPlOVHocBZ5UpYyq27peD+B/1Kjnm5jH9wV4DTMJ4ezHWXIC9I/F/39fpT63k/f/Wp/RFLBrObeNDx+NfNhUTytSyj1RbSaf/f5l8j0xh8g//FPks2ClZngvBm5IeaDcSuV9mXy29L+Q70s5Rj5gHyN3p/uXxbQ/n7XcEfIZyt8in6UbJ988+2/kJoJPSin9B0uU8hhVP0I+O/gH5IOe4WJdz5AHvXwn+UzfEyqUcZB8IPOb5G0zTu4laS/woymlF9ehnr9N7gnvheSmVp8hH8xNFO83SO52/E3kbfPiVGUwz5TSm4Abivn/jbxtS+PUfIp8lv1ZS613lfdPKaVXkLf7n5APksbIBwwHgTcDN6aU3lOjnH8AriVfKfwQOWEo7V9fIQ/s+UtFWX+yLCuzQCmlXyd3gPJr5M/xFHnbj5D39bvIVzq3pEX09tiI/XExUkqTKaWXkwc7fQv5u/UI+bs2TP7c30O+wn1VSulc2eJ/Tr7C+jvkKxhfIv8mnSd/5n9PvnqyIy2y2VdRt2eT95nT5H3oELlXuW9KKdUaVJiU72W7mdw08f6ijDPk79RLyM0Jq44ZllL6f+Srae8hX/2aIH/XP0ZuLvgMFt9NPeSrfC8jXwH8d/IVrknyb/u/k5swPzGltOhu/lNuCr2LfCXmb8ljNk2QP+9PAf+d/J383OJXoz5SSm8gf+4fJNfvPDmp+yvgmSmlV8+znDeSWyn8Nfn3eJx8gu9d5BYZfwf0F7MPzVlILudO8gmS15ITrYfJn88oeb//G/JgvdekPCaXtCpESqnZdZAkSVKTRcQacsJ0GfDGlNJrm1wlqaV4xUmSJEmQe/8sdTLx6WZWRGpFXnGSJElqAxFxXaWmtUXvpR8HtpKb8W1NeTw6SYWK3RpLkiRpVTkQER8m34N0gHwf2ibyvV4vIXeYAbnTDZMmaRavOEmSJLWBiJgkd8VeSQJel1L6lSrzSG3LK06SJEnt4bnkLsefClwJbCT3rHeM3DX7npTSvU2rndTivOIkSZIkSTXYq54kSZIk1WDiJEmSJEk1mDhJkiRJUg0mTpIkSZJUg4mTJEmSJNVg4iRJkiRJNZg4SZIkSVINJk6SJEmSVIOJkyRJkiTVYOIkSZIkSTWYOEmSJElSDSZOkiRJklSDiZMkSZIk1WDiJEmSJEk1mDhJkiRJUg0mTpIkSZJUQ1ezK7DSRMSDQD9wuMlVkaRWdQ0wnFK6ttkVWe2MSZJU0zXUKSa1ROIUEbcBTweeBHwjsB74s5TSCxZQxkbgB4FnAzcBW4DzwL3Au4F3p5Sm61Dd/ssuu2zDE57whA11KEuSVp377ruPc+fONbsaS7KC4pIxSZKqqGdMaonECXgtOTCNAEeBGxdRxg8DvwecAPYCXwGuBH4I+CPgeyPih1NKaYl1PfyEJzxhw/79+5dYjCStTjt37uSee+453Ox6LNFKiUvGJEmqop4xqVUSp1eSA9Mh8hm+vYso4wHgucAHys/gRcQvAZ8BbiUHq7uXXFtJ0mpnXJIkXaQlOodIKe1NKX1hKWfdUkofTSn9zexmDymlh4DfL/69ZQnVlCS1CeOSJGm2lkicGmCieJ5sai0kScqMS5K0wrRKU71lExFdwI8V//7DApar1GB8Me3cJUkCFheXjEmS1HztcMXpN4DtwN+llP5fsysjSWp7xiVJWoFW9RWniHgZ8CrgfuCFC1k2pbSzQpn7gR1Lr50kqd0sNi4ZkySp+VbtFaeIeCnwVuA/gF0ppdNNrpIkqY0ZlyRpZVuViVNEvAJ4O3CAHJweanKVJEltzLgkSSvfqkucIuK/A28GPkcOToNNrpIkqY0ZlyRpdVhxiVNErImIGyPicXNM+2XyTbf7gWeklE42vIKSpLZiXJKk9tASnUNExPOA5xX/fk3x/K0RcWfx98mU0quLv7cA9wFfBq4pK+NFwBuAKeDjwMsiYvZbHU4p3Tn7RUmSyhmXJEmztUTiBDwJeNGs176+eEAORq+mumuL507gFRXm+Rhw5yLqJ0lqL8YlSdJFWqKpXkrpjpRSVHlcUzbv4dmvzbOMSCnd0uBVkyStQMYlSdJsrXLFqa0cOT3KweNDjJ6fYt3aTrZtHuDqDeuaXS1JkpbE+CZpNTNxaqADx4a4a/9RDhwbYnhsgqnpRGdH0N+zhu1bBrht51a2bxlodjUlSVoQ45ukdmDi1CB77x9kz75DnBga4+z4JH09XazpCM5NTPPwo+M8NDzGweND7N51Hbtu2NTs6kqSNC/GN0ntwsSpAQ4cG2LPvkM8ePIs/T1dXLWpj86OmZ6VpqYTp0bGefDkWfbsPcQVfd2emZMktTzjm6R20hKdQ6x2d+0/yomhMfp7utjU33NRUAHo7Ag29ffQ39PFiaEx7r7naJNqKknS/BnfJLUTE6dlduT0KAeODXF2fJKNfd1V593Y183Z8UnuPTrEkdOjDaqhJEkLZ3yT1G5MnJbZweP5Rtm+nq5LzsTN1tkR9PV0MTw2wcHjQw2qoSRJC2d8k9RuTJyW2ej5KaamE2tqBJWSNR3BdEqMnp9a5ppJkrR4xjdJ7cbEaZmtW9tJZ0cwMZ3mNf/EdKIjgnVrO5e5ZpIkLZ5qebg2AAAgAElEQVTxTVK7MXFaZts2D9Dfs4aRsUmmagSXqenEyNgk/T1r2LbZXockSa3L+Cap3Zg4LbOrN6xj+5YBeru7ODUyXnXeUyPj9HZ3cdNWR1qXJLU245ukdmPi1AC37dzKVQM9DI9NMjg8dsmZuanpxODwGMNjk1w10MOtO7Y2qaaSJM2f8U1SOzFxaoDtWwbYfct1XHt5L+enEocGRzh25hyDw2McO3OOQ4MjnJ9KXHt5L7t3XefggJKkFcH4JqmddDW7Au1i142buGJ9N3ffc5R7j+YuXKdT4rLODq5c38NNWwe4dcdWg4okaUUxvklqFyZODbR9ywDbtwxw5PQoB48PMXp+inVrO9m22TbfkqSVy/gmqR2YODXB1RvWGUgkSauO8U3SauY9TpIkSZJUg4mTJEmSJNVg4iRJkiRJNZg4SZIkSVINJk6SJEmSVIOJkyRJkiTVYOIkSZIkSTWYOEmSJElSDSZOkiRJklSDiZMkSZIk1WDiJEmSJEk1mDhJkiRJUg0mTpIkSZJUg4mTJEmSJNVg4iRJkiRJNZg4SZIkSVINJk6SJEmSVENLJE4RcVtEvD0iPh4RwxGRIuI9iyxra0S8KyKOR8R4RByOiLdExGPrXW9J0upkXJIkzdbV7AoUXgt8IzACHAVuXEwhEfE44JPAJuD9wP3AtwAvB54VEU9NKZ2qS40lSauZcUmSdJGWuOIEvBK4HugHfmoJ5ewhB6eXpZSel1L6hZTSdwJvBm4A3rjkmkqS2oFxSZJ0kZZInFJKe1NKX0gppcWWUZzVeyZwGHjHrMmvA84CL4yI3kVXVJLUFoxLkqTZWiJxqpNdxfMHU0rT5RNSSo8CnwDWATc3umKSpLZkXJKkVaRV7nGqhxuK5wcqTP8C+czf9cBHahUWEfsrTFpUO3dJUtupW1wyJklS862mK04DxfNQheml1x/TgLpIkmRckqRVZDVdcaqrlNLOuV4vzvrtaHB1JEltzJgkSc23mq44lc7cDVSYXnr9TAPqIkmScUmSVpHVdMXp88Xz9RWmP754rtTWXA1w5PQoB48PMXp+inVrO9m2eYCrN6xrdrUkaTkYl1YpY5nUnlZT4rS3eH5mRHSU92AUEeuBpwKjwKebUbl2d+DYEHftP8qBY0MMj00wNZ3o7Aj6e9awfcsAt+3cyvYtlU7KStKKZFxaZYxlUntbcYlTRKwBHgdMpJS+WHo9pfTFiPgguYeinwbeXrbY64Fe4A9SSmcbWV/B3vsH2bPvECeGxjg7PklfTxdrOoJzE9M8/Og4Dw2PcfD4ELt3XceuGzY1u7qStCDGpfZgLJPUEolTRDwPeF7x79cUz98aEXcWf59MKb26+HsLcB/wZeCaWUXtBj4JvC0inlHM9xTyWBoPAK9ZjvqrsgPHhtiz7xAPnjxLf08XV23qo7MjLkyfmk6cGhnnwZNn2bP3EFf0dXu2TlLTGZdUzlgmCVokcQKeBLxo1mtfXzwgB6NXU0Nxdu/JwBuAZwHfB5wA3gq8PqX0SN1qrHm5a/9RTgyN0d/Txab+nkumd3ZE8foYJ4bGuPueowYbSa3AuKQLjGWSoEUSp5TSHcAd85z3MBBVph8BXlyPemlpjpwe5cCxIc6OT3LVpr6q827s6+bQ4Aj3Hh3iyOlRb7KV1FTGJZUYyySVrKbuyNViDh7PN8/29XRd1KRhLp0dQV9PF8NjExw8XmmsSEmSGstYJqnExEnLZvT8FFPTiTU1Ak3Jmo5gOiVGz08tc80kSZofY5mkEhMnLZt1azvp7AgmptO85p+YTnREsG5t5zLXTJKk+TGWSSoxcdKy2bZ5gP6eNYyMTTJVI+BMTSdGxibp71nDts3eUCtJag3GMkklJk5aNldvWMf2LQP0dndxamS86rynRsbp7e7ipq2Ovi5Jah3GMkklJk5aVrft3MpVAz0Mj00yODx2ydm6qenE4PAYw2OTXDXQw607tjapppIkzc1YJglMnLTMtm8ZYPct13Ht5b2cn0ocGhzh2JlzDA6PcezMOQ4NjnB+KnHt5b3s3nWd415IklqOsUwStMg4Tlrddt24iSvWd3P3PUe592ju1nU6JS7r7ODK9T3ctHWAW3dsNdBIklqWsUySiZMaYvuWAbZvGeDI6VEOHh9i9PwU69Z2sm2z7cAlSSuDsUxqbyZOaqirN6wzuEiSVjRjmdSevMdJkiRJkmowcZIkSZKkGkycJEmSJKkG73FaJbxRVZK0mhnnJDWbidMKd+DYEHftP8qBY7lr1KnpRGdH0N+zhu1bBrhtp12jSpJWLuOcpFZh4rSC7b1/kD37DnFiaIyz45P09XSxpiM4NzHNw4+O89DwGAePD7F713XsumFTs6srSdKCGOcktRITpxXqwLEh9uw7xIMnz9Lf08VVm/ro7IgL06emE6dGxnnw5Fn27D3EFX3dnpGTJK0YxjlJrcbOIVaou/Yf5cTQGP09XWzq77komAB0dgSb+nvo7+nixNAYd99ztEk1lSRp4YxzklqNidMKdOT0KAeODXF2fJKNfd1V593Y183Z8UnuPTrEkdOjDaqhJEmLZ5yT1IpMnFagg8fzDbJ9PV2XnIGbrbMj6OvpYnhsgoPHhxpUQ0mSFs84J6kVeY/TCjR6foqp6cSaGsGkZE1HMJ0So+enlrlm7ctuciWpfoxzy8uYJS2OidMKtG5tJ51Fr0LzMTGduKyzg3VrO5e5Zu3HbnIlqf6Mc8vDmCUtjYnTCrRt8wD9PWt4+NHxCz96lUxNJ0bGJrlyfQ/bNvtjWE92kytJy8M4V3/GLGnpTJxWoKs3rGP7lgEeGh7j1Mg4m/p7Ks57amSc3u4ubtrqZfh6sptcSVo+xrn6MmZJ9WHnECvUbTu3ctVAD8NjkwwOjzE1nS6aPjWdGBweY3hskqsGerh1x9Ym1XR1sptcSVpexrn6MWZJ9WHitEJt3zLA7luu49rLezk/lTg0OMKxM+cYHB7j2JlzHBoc4fxU4trLe9m96zrPHNWR3eRK0vIzztWHMUuqH5vqrWC7btzEFeu7ufueo9x7NN/oOZ3yDbJXru/hpq0D3LrDGz3rbSnd5NqMRJLmzzi3dMYsqX5MnFa47VsG2L5lwK5FG8huciWpcYxzS2PMkurHxGmVuHrDOgNIg9hNriQ1nnFucYxZUv14j5O0QKVuckfGJi+5WXm2Uje5/T1r7CZXktRwxiypfkycpAUqdZPb293FqZHxqvPaTa4kqZmMWVL9mDhJi2A3uZKklcKYJdWHiZO0CHaTK0laKYxZUn3YOYS0SHaTK0laKYxZ0tK1VOIUEVuBNwDPAjYCJ4C/Bl6fUnpkAeV8O/BzwDcCXwMMAgeAt6WU/qHe9Vb7sptcafUyJmm1MWZJS9MyiVNEPA74JLAJeD9wP/AtwMuBZ0XEU1NKp+ZRzk8Be4CzwPuAo8BW4IeA742I16aU3rg8a6F2ZTe50upiTNJqZsySFqdlEidyYNkEvCyl9PbSixHxO8ArgTcCL6lWQESsAX4dGAN2ppQ+Xzbt14B/BV4TEW9KKVXvWkaS1M6MSZKki7RE5xDFmb1nAoeBd8ya/DrymboXRkRvjaI2AAPAA+UBCiCldB/wAHAZ0FeHakuSViFjkiRpLi2ROAG7iucPppQuGto6pfQo8AlgHXBzjXIGgYeB6yPi8eUTIuJ64PHA5+bTvEKS1LaMSZKkS7RKU70biucHKkz/Avns3/XARyoVklJKEfHTwHuA/RHxPuA4sAX4QeAg8CPzqVBE7K8w6cb5LC9JWrGMSZKkS7RK4lTq+3KowvTS64+pVVBK6b0RcRz4c+DHyiZ9FXg38KXFVlKS1BaMSZKkS7RKU726iYgXAB8GPg48gdyc4gnks4K/C/zFfMpJKe2c60HuWUmSpJqMSZK0erRK4lQ6e1dp1LXS62eqFVK0GX8XufnDC1NK96eUzqWU7gdeCOwHfjgibll6lSVJq5QxSZJ0iVZJnEq9DV1fYXrpptpK7c1LngmsAT42xw2908A/Fv/uXEwlJUltwZgkSbpEqyROe4vnZ0bERXWKiPXAU4FR4NM1yukunq+oML30+vnFVFKS1BaMSZKkS7RE4pRS+iLwQeAa4KdnTX490Av8aUrpbOnFiLgxImb3JvTx4vm2iHhi+YSIeBJwG5CAj9av9pKk1cSYJEmaS6v0qgewG/gk8LaIeAZwH/AU8ngaDwCvmTX/fcVzlF5IKX0mIt4NvBj4bNH165fJwe95wFrgLSmlg8u4HpKklc+YJEm6SMskTimlL0bEk4E3AM8Cvg84AbwVeH1K6ZF5FvUT5HbjtwPfA6wHhoF/Av4wpTSvHowkSe3LmCRJmq1lEieAlNIR8pm5+cwbFV5PwJ3FQ5KkRTEmSZLKtcQ9TpIkSZLUykycJEmSJKkGEydJkiRJqsHESZIkSZJqMHGSJEmSpBpMnCRJkiSpBhMnSZIkSarBxEmSJEmSajBxkiRJkqQaTJwkSZIkqQYTJ0mSJEmqwcRJkiRJkmowcZIkSZKkGkycJEmSJKkGEydJkiRJqsHESZIkSZJqMHGSJEmSpBpMnCRJkiSpBhMnSZIkSarBxEmSJEmSajBxkiRJkqQaTJwkSZIkqQYTJ0mSJEmqwcRJkiRJkmowcZIkSZKkGkycJEmSJKkGEydJkiRJqsHESZIkSZJqMHGSJEmSpBpMnCRJkiSphq5mV0CSND9HTo9y8PgQo+enWLe2k22bB7h6w7pmV0uStMoYb+Zm4iRJLe7AsSHu2n+UA8eGGB6bYGo60dkR9PesYfuWAW7buZXtWwaaXU1J0gpnvKnOxEmSWtje+wfZs+8QJ4bGODs+SV9PF2s6gnMT0zz86DgPDY9x8PgQu3ddx64bNjW7upKkFcp4U5uJkyS1qAPHhtiz7xAPnjxLf08XV23qo7MjLkyfmk6cGhnnwZNn2bP3EFf0dbf1mUBJ0uIYb+anpTqHiIitEfGuiDgeEeMRcTgi3hIRj11EWTsi4n9HxNGirK9GxMci4seWo+6SVG937T/KiaEx+nu62NTfc1EQA+jsCDb199Df08WJoTHuvudok2q6OhmTJLUL4838tEziFBGPA/YDLwY+A7wZ+BLwcuBTEbFxAWW9FPgs8EzgI8BvA+8DOoHvq2/NJan+jpwe5cCxIc6OT7Kxr7vqvBv7ujk7Psm9R4c4cnq0QTVc3YxJktqF8Wb+Wqmp3h5gE/CylNLbSy9GxO8ArwTeCLykViER8UzgbcCHgNtSSo/Omr6mnpWWpOVw8Hi+Mbevp+uSM3+zdXYEfT1dDI9NcPD4kD0f1YcxSVJbMN7MX0tccSrO7D0TOAy8Y9bk1wFngRdGRO88ivst4Bzwo7MDFEBKaWJptZWk5Td6foqp6cSaGkGsZE1HMJ0So+enlrlmq58xSVI7Md7MX0skTsCu4vmDKaXp8glFoPkEsA64uVohEbEdeCLwQeB0ROyKiFdHxKsi4hkR0SrrK0lVrVvbSWdHMDGd5jX/xHSiI4J1azuXuWZtwZgkqW0Yb+avVZrq3VA8P1Bh+hfIZ/+uJ7cPr+Sbi+dBYB/wtFnT742IH0opHapVoYjYX2HSjbWWlaSl2rZ5gP6eNTz86PiFcTQqmZpOjIxNcuX6HrZtbr9ejpaBMUlS2zDezF+rnO0qbfmhCtNLrz+mRjmlTuV/ArgGeHZR9vXAe4CbgA9ExNpF11SSGuDqDevYvmWA3u4uTo2MV5331Mg4vd1d3LTVkd3rxJgkqW0Yb+avVa441UspEewEfiSl9Kni/+Giy9cbgScDtwJ/Xq2glNLOuV4vzvrtqE91Jamy23Zu5eDxIR48eRYYY2Nf95zjagyPTXLt5b3cumNr8yqruRiTJK0Ixpv5aZUrTqWzd5Wu+ZVeP1OjnNL0h8oCFAAppQS8v/j3WxZcQ0lqsO1bBth9y3Vce3kv56cShwZHOHbmHIPDYxw7c45DgyOcn0pce3kvu3dd15aDES4TY5KktmK8mZ9WueL0+eL5+grTH188V2pvPrucSsHskeL5snnWS5KaateNm7hifTd333OUe4/mLmOnU+Kyzg6uXN/DTVsHuHXH1rYNYsvEmCSp7RhvamuVxGlv8fzMiOgo78UoItYDTwVGgU/XKOfT5G5ir4mI3pTS2VnTtxfPD9ahzpLUENu3DLB9ywBHTo9y8PgQo+enWLe2k22b27ONeQMYkyS1JeNNdS2ROKWUvhgRHyT3UvTTwNvLJr8e6AX+oDzoRMSNxbL3l5UzGhHvBF4G/GpE/GzRHIKIuAm4HZgE7lreNZKk+rt6wzoDVwMYkyS1O+PN3FoicSrsBj4JvC0ingHcBzyFPJ7GA8BrZs1/X/E8u8/EXyZ3+foK4Fsj4hPAlcAPAT3AK1JKX1yWNZAkrRbGJEnSRVqlcwiKwPFk4E5ycHoV8DjgrcDNKaVT8yxnGPgO4NeADcBLge8H/gn4npTSW+teeUnSqmJMkiTN1kpXnEgpHQFePM95K47OlVIaIZ8NnH1GUJKkeTEmSZLKtcwVJ0mSJElqVSZOkiRJklSDiZMkSZIk1dBS9zi1G/vIlyStRsY3SauRiVMTHDg2xF37j3LgWB6VeWo60dkR9PesYfuWAW7b2d6jMksedEkrk/FNK5mxR7WYODXY3vsH2bPvECeGxjg7PklfTxdrOoJzE9M8/Og4Dw2PcfD4ELt3XceuGzY1u7pSQ3nQJa1cxjetVMYezZeJUwMdODbEnn2HePDkWfp7urhqUx+dHTM92E5NJ06NjPPgybPs2XuIK/q6/aKqbXjQJa1cxjetVMYeLYSJUwPdtf8oJ4bG6O/pYlN/zyXTOzuieH2ME0Nj3H3PUQOL2oIHXdLKZnzTSmTs0UKZODXIkdOjHDg2xNnxSa7a1Fd13o193RwaHOHeo0McOT1q+1qteh50NY9t+rVUxjetVMae5bNaY4uJU4McPJ7bzfb1dF10NmMunR1BX08Xw2MTHDw+tCp2NKkSD7qawzb9qhfjm1YiY8/yWO2xxcSpQUbPTzE1nVhTI6iUrOkIplNi9PzUMtdMai4PuhrPNv2qJ+ObViJjT/21Q2wxcWqQdWs76Sx2nvmYmE5c1tnBurWdy1wzqbk86Gos2/Sr3oxvWomMPfXVLrGlo9kVaBfbNg/Q37OGkbFJpqZT1XmnphMjY5P096xh2+aVt1NJC1E66Jqo8b0omZhOdER40LVIs9v0zz7TWmrT39/TdaFNv1SN8U0rkbGnvtoltpg4NcjVG9axfcsAvd1dnBoZrzrvqZFxeru7uGnr6riRTqrGg67GKW/Tv7Gvu+q8G/u6OTs+eaFNv1SJ8U0rkbGnftoptpg4NdBtO7dy1UAPw2OTDA6PXfJFnZpODA6PMTw2yVUDPdy6Y2uTaio1jgddjbOUNv1SNcY3rTTGnvppp9hi4tRA27cMsPuW67j28l7OTyUODY5w7Mw5BofHOHbmHIcGRzg/lbj28l5277puRbb9lBbDg67GsE2/lovxTSuRsac+2im22DlEg+26cRNXrO/m7nuOcu/RnKFPp3yj7JXre7hp6wC37ljZXTVKC1U66Cr1xnNocORCbzwTRROJ3u4uD7qWyJv4tZyMb1ppjD310U6xxcSpCbZvGWD7loFVOziYtBgedC2/Upv+hx8dvzC2RiWlNv1Xru+xTb/mzfimlcbYs3TtFFtMnJro6g3rDCQtzMDfeB50La9Sm/6Hhsc4NTLOpv6eivPapl9LYXxrHH8vl87YszTtFFtMnKRZVvuo1yuBB13L57adWzl4fIgHT54FxtjY1z3nWBvDY5Nce3mvbfqlFmWsqj9jz+K1S2wxcZLKtMOo12pvtumXVj5jlVpNu8QWEyep0C6jXku26ZdWLmOVWlU7xBYTJ6kwe9Tr2UqjXsPYhVGvV/KXX+3NNv3SymSsUitb7bHFxEni4lGvr9rUV3XejX3dHBocuTDq9Wr4IVD7sk2/tHIYq7RSrNbYYuLUhlbrWYClWMqo1+2+7SSpWdotnhmrpOYycWoj9sBTWTuNei1JK127xjNjldRcJk5twh54qmunUa8laSVr53hmrJKay8SpDdgDT23tNOq1JK1U7R7PjFVSc3U0uwJafrN74Jn9Q1vqgae/p+tCDzztpjTqdW93F6dGxqvOu9JHvZaklard45mxSmourzitcvbAM3+tNup1u930LEnVGM+yZsYq45LanYnTKmcPPPPXKqNeV7vp+es2ruOGK9dz+fpug5aktmI8y5oRq4xLUmbitMrZA8/CNHvU60o3PQ+dm+TLp0b596ND/F3HCR6zbi3re7pWfQ9SklRiPJvRyFhlXJJmmDitcvbAs3DNGvW60k3Pj4yeZ/TR8yRgcnqayWk4ffY8KbHqe5CSpBLj2cUaEauMS9LFTJxWOXvgWbxGj3o9+6ZngLPjkxx/ZIyxySk6I+hd28nEdCKlvMx1m/pWdQ9SklRiPJvbcsYq45J0sZbqVS8itkbEuyLieESMR8ThiHhLRDx2CWU+LSKmIiJFxK/Ws74rgT3wrAzlNz1v7Ou+8PrDj45zfmqazgjWdnUQEazp7GBqOnF2fJLJqbSqe5CSmsmY1FqMZ41lXJIu1TKJU0Q8DtgPvBj4DPBm4EvAy4FPRcTGRZS5HvhjYLSOVV1xbtu5lasGehgem2RweIyp6XTR9KnpxODwGMNjk1w10LPsvcXpUnPd9Dw2McXIeNGmv3PmzGqQb3yenE6cPT8J5B6kzo5PXuhBStLSGJNak/GscYxL0qVaJnEC9gCbgJellJ6XUvqFlNJ3koPVDcAbF1HmW4EB4NfrV82Vp9QDz7WX93J+KnFocIRjZ84xODzGsTPnODQ4wvmptOy9xamyuW56Lr3W2RFEXNwkJf+bLhw0zO5BStKSGZNakPGscYxL0qVa4h6n4szeM4HDwDtmTX4d8F+BF0bEq1JKZ+dZ5g+QzxS+kBZZz2Zqdm9xqm6um56nphOJxFyt+FOCiLiojf9q7kFKaiRjUmsznjWGcUm6VKv8eO8qnj+YUrqou5yU0qMR8QlyELsZ+EitwiJiE/CHwF+nlN4TEbfXub4rUrN6i1Ntc9303NkRBME0FzdFSeTgtXZNB71rZ77Cq70HKamBjEktzni2/IxL0qVaJXG6oXh+oML0L5CD1PXMI0iRA1QH8JLFVigi9leYdONiy2wVje4trpJ2DHiV1rl00/NDw2OcGhlnU3/PhbN9ExPTpJQuNIuYmJqmsyPo7e6ie01ubdtOPUhJDWBMWiGaFc9Wc/wqX7f1PV10d3Ual6RCqyROpW9UpUawpdcfU6ugiPhx4LnA81NKX61D3VRn1UYgX62D5s1nnW/buZWDx4d48ORZYIyNfd30dXcyMTXNxFRiTVcwMTXN1HSiZ00nV6yf6eXIHqSkujImaU6rOX7NtW4TU9OMjE9w5lxifDKx+TE9xiW1tVZJnOoiIq4B3gK8N6X0l0spK6W0s8J77Ad2LKXsdlZpBPJzE9OrdtC8hazz7luuuzDvocER1nblM3fnp6Y5PzVNV0fQs6aTLY+5jN7uTqamE6dGxhkem+Tay3vtQUpqIcak1WU1x69K61ZqkDc9DQ+PjDN0boLe7tzszrikdtQqiVPp7F2l0zSl18/UKOddwDlgdz0qpfqqNAJ5SenHdjUNmrfQdX7dc7bxuudsu+im546AR0YnmJ7OvRatW9vJ+ckpjp2ZZGRskt7uLnuQkurLmKSLrOb4VWvdvqa/h+NnznHq7Hkg0dPVyYZe45LaU6skTp8vnq+vMP3xxXOl9uYlO8gB7eHZ3WQWXhMRrwHen1J63oJrqSWZawTycp0dUbw+dmHQvJX+g7uYdX7dc7ZdctPzyUfH+cLgCA+ePGsPUtLyMybpIqs5fs1n3a7esI7urg5Gz0/x9Zt6ec4TNxuX1JZaJXHaWzw/MyI6ynsxKgYMfCp5wMBP1yjnT4C5GtI+Hnga8DnygIb/uuQaa0HKRyC/alNf1Xk39nVzaHDkwqB5K7Vt9FLXea6bnlfzDclSCzEm6YLVHL8Wum6PDI7w6LlJvvmaDRfWzbikdtISiVNK6YsR8UFyL0U/Dby9bPLrgV7gD8rHy4iIG4tl7y8r52VzlV90/fo04AMppdfWfQVU01wjkFcye9C8ev4AN/IHfjnWuVV6RJRWM2OSyrVK/IL6x7B6rJtxSe2kJRKnwm7gk8DbIuIZwH3AU8jjaTwAvGbW/PcVz9W/6WoJc41AXk29B81rRk9IzV5nSUtiTBLQGr/lyxXDWmHdpJWkZRKn4gzfk4E3AM8Cvg84AbwVeH1K6ZFm1k9LM9cI5NXUc9C8ZvWE1Mx1lrQ0xiSVNPu3fDljWLPXTVppWiZxAkgpHQFePM95531WL6V0J3Dn4mqlephrBPJK6jloXjN7QmrWOkuqD2OSoLm/5csdw4xT0sJ0NLsCag9Xb1jH9i0D9HZ3cWpkvOq89Rw0b3ZvQbODQqknpP6ergs9IdVLs9ZZklQ/zfwtX+4YZpySFsbESQ1z286tXDXQw/DYJIPDY0xNp4umT00nBofHGB6b5KqBniUPmlfeW9DGvu6q827s6+bs+OSFnpDqpdHrLEmqv2b8ljcqhhmnpPkzcVLDbN8ywO5bruPay3s5P5U4NDjCsTPnGBwe49iZcxwaHOH8VKrboHlL6S2oXhq9zpKk+mvGb3mjYphxSpq/lrrHSavfrhs3ccX6bu6+5yj3Hh1a1kHzWqW3oEausyRpeTT6t7yRMcw4Jc2PiZMabvuWAbZvGVj2MZVaqbegRq2zJGn5NPK3vNExzDgl1WbipKZZ7kHzWrG3IAcKlKSVrxG/5c2KYcYpqTLvcdKqZW9BkqSVyhgmtR4TJ61q9hYkSVqpjGFSazFx0qpmb0GSpJXKGCa1Fu9x0qpnb0GSpJXKGCa1DhMntQV7C5IkrVTGMM+Fl9UAACAASURBVKk1mDiprdhbkCRppTKGSc3lPU6SJEmSVIOJkyRJkiTVYOIkSZIkSTV4j5O0TLyJV5LUioxP0uKYOEl1duDYEHftP8qBY7nb2KnpRGdH0N+zhu1bBrhtp93GSpIaz/gkLY2Jk1RHe+8fZM++Q5wYGuPs+CR9PV2s6QjOTUzz8KPjPDQ8xsHjQ+zedR27btjU7OpKktqE8UlaOhMnqU4OHBtiz75DPHjyLP09XVy1qY/OjrgwfWo6cWpknAdPnmXP3kNc0dftmT1J0rIzPkn1YecQUp3ctf8oJ4bG6O/pYlN/z0VBCaCzI9jU30N/Txcnhsa4+56jTaqpJKmdGJ+k+jBxkurgyOlRDhwb4uz4JBv7uqvOu7Gvm7Pjk9x7dIgjp0cbVENJUjsyPkn1Y+Ik1cHB4/lG276erkvO5M3W2RH09XQxPDbBweNDDaqhJKkdGZ+k+jFxkupg9PwUU9OJNTWCUsmajmA6JUbPTy1zzSRJ7cz4JNWPiZNUB+vWdtLZEUxMp3nNPzGd6Ihg3drOZa6ZJKmdGZ+k+jFxkupg2+YB+nvWMDI2yVSN4DQ1nRgZm6S/Zw3bNttrkSRp+RifpPoxcZLq4OoN69i+ZYDe7i5OjYxXnffUyDi93V3ctNWR2iVJy8v4JNWP4zhJdXLbzq0cPD7EgyfPAmNs7Ouec5yM4bFJrr28l1t3bG1eZVvIkdOjHDw+xOj5Kdat7WTbZgO2JNWT8Wl+jEeqxcRJqpPtWwbYfct1F0ZmPzQ4cmFk9omi+UNvdxfXXt7L7l3Xtf3gggeODXHX/qMcOJZ7fJqaTnR2BP09a9i+ZYDbdm5t+20kSfVgfKrOeKT5MnGS6mjXjZu4Yn03d99zlHuP5h/g6ZS4rLODK9f3cNPWAW7d4Q/w3vsHLwTws+OTFwL4uYlpHn50nIeGxzh4fIjdu65j1w2bml1dSVrxjE9zMx5pIUycpDrbvmWA7VsGvORfwYFjQ+zZd4gHT56lv6eLqzb1zdlk5MGTZ9mz9xBX9HW3XSCXpOVgfLqY8UgLZeIkLZOrN6xry0BUy137j3JiaIz+ni429fdcMr2zI4rXxzgxNMbd9xw1UElSHRmfMuORFspe9SQ1zJHToxw4NsTZ8Uk29nVXnXdjXzdnxye59+gQR06PNqiGkqR2YDzSYpg4SWqYg8dzu/q+nq6LmkPMpbMj6OvpYnhsgoPHhxpUQ0lSOzAeaTFMnCQ1zOj5KaamE2tqBKmSNR3BdEqMnp9a5ppJktqJ8UiL0VL3OEXEVuANwLOAjcAJ4K+B16eUHpnH8r3A84BnAzuAq4Fp4PPAnwNvTymdX57aazVo9g2zzX7/5bZubSedRW9F8zExnXt8Wre2c5lrJl3KmKSVoJFxYzXFKOORFqNlEqeIeBzwSWAT8H7gfuBbgJcDz4qIp6aUTtUo5juA9wCngb3kAPdY4LnAm4AfiohnpJTGlmctWsNq+mFrlGaP4dDs92+UbZsH6O9Zw8OPjl9Yx0qmirFFrlzfw7bNK3/dtbIYk1qPse1ijYwbqzFGGY+0GC2TOAF7yAHqZSmlt5dejIjfAV4JvBF4SY0yHgJeALy3/CxeRLwa2Ad8G/DTwG/XteYtYjX+sDVCs8dw+P/Ze+/wSPL7PvOt1Dmgu9GIA0wCZmYTuZxlWHopkivZtKhg6xEp+bGlu3tkmaK91uMg+XS2TEmmJUrW0aZl0ZZMpdNjK1txSUvkMlPkkrvcnV1ywyTMYJBD59wVf/dHo2uBQQa6AQxQ7/P00zPoQlWhu+v3qW8+7OMfJCPJEA8Ox1ksN8lV9Q27GLXJVXXCfpWHTp3smyOPQ8PTpCOCp23rOUjdOK4a5emRx144EobTimfvXcAd4L/d9fLPAD8C/B+SJP24EKK22X6EEC8CL27w84okSf8J+F3gnRxDkTquC1u3OewZDod9/MPgvY+c4pX5EpPZGtAkFfFv+DeXmxZne8O85/KpwztZjxOJp0lHB0/b1nOQunHcNcrTI4/dclSaQzy+8vyUEGJNsqkQogJ8BQgBj+7jGObKs7WPfRxJVi9sPkVirC/CcE+QvliA4Z4gY30RfIrkLmwvz3kdYdrcPcPh7lB9e4ZDLKC6MxyO0/EPgweH4zzxzjHO9oYxbMHEcpW5YoPlcpO5YoOJ5SqGLTjbG+aJx8fuKRH2ODZ4mnQE8LRtYw5SN467Rnl65LFbjkTECbi48nxjk9dv0vL+XQA+u8dj/MOV50/uZGNJkp7f5KVLezx+1/AGuO2N1TMcBvsiW26biviZWK66Mxw6Eao/7OMfJo9f6iMd9fMnV2Z5abaVfuOIVuFtfzTAQ6fivOfyyUu/8TgyeJp0BPC0bT0HqRsnRaM8PfLYDUfFcGp/GzdzF7V/3rOXnUuS9KO0uiK9CPzWXvZxVDkpC1s32M8Mh068d4d9/MPmweE4Dw7HvYJvj6OIp0mHjKdtG3OQunGSNMrTI4+dclQMp64hSdL3Ar9Eq0j3PUIIc5tfAUAI8cgm+3ueVlvZI0E3F7bjvoAc9gyHwz7+UWEkGTpW3ysPj6047prUKbqhbcdB0w5SN06iRnl65LEdR8VwanvvNouDtn9e3M1OJUn6HuAPgGXgcSHE7b2d3tGlGwvbSelgdNgzHA77+B4eHpviadIh00ltO06adpC64WmUh8d6jorhdH3l+cImr4+vPG+Wb74OSZK+D/g9Wl69bxVC3Nz76R1dOr2wnaQORoc9w+Gwj+/h4bEpniYdMp3StuOmaQepG55GeXis56h01fv8yvO7JElac06SJEWBx4A68LWd7EySpB+gNZV9HnjHcRao9sJWbVrYjthy2/bCFgtoGy5sJ62DUXuGQ9ivkqvqW27bjRkOh318Dw+PTfE06ZDphLYdR007SN3wNMrDYz1HwnASQtwCngLO0BoGuJoPAmHgf66elyFJ0iVJktZ1E5Ik6f8C/gcwDbz9uKdCdHJhO+5tRzfivY+cYjAeoNy0WC431wm07QiWy03KTYvBeKDjMxwO+/geHh7r8TTp8OmEth1XTTtI3fA0ysNjLUclVQ/gCeBp4JclSfo24CrwFlrzNG4A//au7a+uPLsroSRJj9PqUCTT8hj+kCStCy0XhRC/1PGz3wWmaTI7O8vo6CiKsv9c4E4McDupHYzaMxzaqRwTy1U3lcNc8WKG/WrXZjgc9vE9PDw25cRo0lFlP9p2nDXtIHXD0ygPj7UcGcNJCHFLkqQ3Av+eVpvW7wAWgP8CfFAIUdjBbk7zWhTtH26yzRStjkaHxu3bt7lx4wYTExOMjY1x+vRpZHnvwb9OLGyd6mB0L3YtOuwZDod9fA8Pj/WcJE06quxH2/ajae3fP8o6dpC64WmUh8drHBnDCUAIMQP80A63XbcSCiF+G/jtzp5VZzFNk9u3W5kazWaTl19+uSMG1H4Xtv12MLrXuxYd9gyHwz7+Rhylc/HwOAxOgiYddfaqbXvRtLph8bvPTNMw7HtCxw5SNw5bozw98jgqHCnD6SSgKAqXLl1iYmKCZrMJrDeg9prCt5+FbT8djI5T16LDnuFw2MeHe98I9vDwOF7sRdt2q2nlpkVVt2gYZRwh7ikdO0jdOGiN8vTI46jhGU4HjCzLnD17ltHRUaanpzc0oG7evOlGoDYyoLYTj70sbHttO6rKstu1KBZQGeyLbJiD3u5alI74vUXuCHOcjGAPD4+Ty240rdwwKdRNJFoG10A84OnYEcDTI4+jiGc4HRKKomxqQOm6ziuvvLImhU9RlK56XtodjBbLTXJVnb5YYNNtV3cw+vJEdk3XonV/50rXImi6XYs8wTmarG7d6xnBHh4eR4W9aN9uNG220ABaRtNwIrjudU/HDh5PjzyOKp7hdMi0DajTp08zNTW1qQGVkXr4s5s6ixWza56X3XYwettYL7/6hVvHsmvRSeTu1r134908eHh4HDT7iTrsRNMWSw3qho0EjCS21iVPxw4OT488jiqe4XREaKfwbWRA3ZjP8/vPvkimbpMaGOHcyCiaprm/2ynPy247GOmm3ZFOfB6Hz3Fu3evh4XFvst+ow040TZYkNEUi4leJBre+JfJ07GDw9MjjKOMZTkeM1QbU9PQ0N2/e5CsT0xRqBgFFQq0skL2RIZI+RTg1gKyoHfW87KaD0Z9emd1XJz6Po0On2tF7eHh4dIpORB2207SgT2EyW8OneDp2VPD0yOMo4xlORxRZljlz5gxSpJfiM2UMKiQCrVbljmVRXrhDdXmWSHqYcO8gsqJ2zPOy0w5G++nEd9B4rUy3Zr/t6D08PDw6SSejDltp2ivzJT7y6Rs0zJ2tZYepY3AytMzTI4+jjGc4HXGuLlaww70M3BcnIcpUl+ewjFYKn2NblBenqGbmCPcOEkkPd9Tzsl13vr124ntg6ODykHdaVHwSxGgr7iUj2MPD4/jTjajDZpp21HUMXtOy56fyZKsGtuOgyDK9ER+PnE4eq7bcnh55HGU8w+mI0/a8+FSFcGyQUKKfenGZ6tLsGgOqsjRDLTuPEUih9Q4diOdlr534Dsog2UlR8bOTOYZ6ghTr5omeEXEvGMEeHh4nh4OKOhx1HYOWln34U9eYztdpmA6r35LlSqvG69nJHP/3t186Fm25PT3yOMp4htMR527PiyTLhJMDhBL9NIoZKkvTWHrbgLKpLM9gFBbJXPShP5DG7/d39fx224nvPZdPdfV82uykqHgmX+fGUpWJTA2/KtMT0k7sjIh74ebB4+A46RFYj8PnIKMOR1XHoKVlP/+XV1fODSRAliQkQABCCJqmw42lKj//v68ei7bcnh4dD46rjniG0xFnM8+LJEmEEn0Ee9I0ilkqy9MYjTpN06EnKKHVMnzmM5/h9OnTjI2NEQhsvvDsh9124juoBX27ouKmaVPTbYQQOA6ENIXhntfmd5zEGRFH+ebB42Do5qw4D4/dcJBRh6OqYwAf++ItpnJ1hBBoioymSEjSa++FEALTFpi2w1Suzse+dIuP/v3LB3Z+3cLTo3uX464jnuF0xNnO89IyoNIEe3qZnZ0jbM9yptdHOurHcRwmJyeZmppiZGSEsbExQqHOW/u76cR3EOykqDhT0TFsB1WRsZ1WeoduOvi1VgOOkzgj4ijfPLQ5rh6so8B+5uV4eHSag446HDUdg9Z698xkHstx0BQZnyqv20aSJHyqhABM2+GZ2/lj0Zb7KOqRpz/bcxJ0xDOc7gF26nnR/T1cfHiIH3k0jVxZpFQqAeA4DlNTU0xPT3Pq1CnGx8cJh8MdPcedduI7CLYrKm6aNlW9lT8f1GQMwHIENcPCr/nWbHvSZkQcxZsHOP4erMNmv/NyPDy6wUFHHY6SjgF88cYy5aYJsG27dJ8iYdpQbpp88cYyP/jomQM4w+5yVPTI05+dcVJ0xDOc7gF263l558U+4ALLy8vcuHGDQqEAtEL6MzMzzM7OMjQ0xNjYGLFYrKPnul0nvoNgu6Li9uuK3Ep5kCQBCGxHrNv2JM6IOGo3DyfBg3XYdGJejodHpzmsqMNR0DGAieUqjiNaNU3S1oaTJEnIkoTjCCaWqwd0ht3nsPXI05+dc1J0xDOc7hH24nnp6+ujr6+PbDbLzZs3yWazQMuAmpubY25ujoGBAcbHx+np6dnxuRyVG+rN2K6o2HYEAkFbhoRoic5mOfQndUbEUbh5OCkerMOkk/NyPDw6TbeiDkddxzzWchh65OnPzjlJOuIZTvcQe/W89Pb20tvbSz6f5+bNmywvL7uvLS4usri4SDqdZnx8nFQqtel+7pVw9XZFxYosISHhIBC0Fj+fJhP2bXw5eDMiDo+T4sE6TLoxL8fDo5N0Mupwr+gYwFhfFFmWsCwHAWx1dQrAEQJVkRnrix7QGR5vPP3ZOSdJRzzD6R5kr56XZDLJW97yForFIjdv3mRxcdF9LZPJkMlkSCaTjI+P09e3NuTc7XB1J71/2xUVtyNSpulgWDaKLBH2q25jiNV4MyIOj5PkwTpMDmpejofHftlv1OGg0q46pWfvuJDmlz+rka3qGJaNX93ceWdYresxFtB4x4X0ns/do4WnP7vjJOmIZzidQHp6enjTm95EpVLh5s2bzM/PI0Srviefz/PMM88Qj8cZHx9nYGCAV+bLXQtXd8v7t1VRcUBTCPkUmqaNZQtCfoV0dON5V96MiMPjpHiwDjtl6CDn5Xh4HBYHkXbVaT0bSYZ4y7kkn3plCct2kKRWd73Vq2G7m55lt6JNj55L3VPr31HlXtefg9aVk6QjnuF0Qtj4Iopy+fJlLl68yMTEBLOzszhO60tfKpV47rnniEajPHnbZr5Ix8PV3fT+bVdU3DDtViEtEPYpBO6KNnkzIg6f4+LB2kzAjkrK0EHOy/Hw6DQ7vUHsdtpVt/Ts/W8/z/WFCrezNSxbYFoWqiIjSa363JZB1WoecSYV4kfefm7H+/bYnHtVfz7z6hK/+8wUd3I1dLNlaPs1ueu6cpJ0xDOcjjk7vTl7/etfz4ULF7h16xZTU1OuAXV7PsvXvn6b5Ybgwvg4wulHktentMHuwtUH4f3bsqi4P0BPSGOh1KTUMI/EjAiPtdzrHqytrr3V373D7tR00PNyPDw6wW4cD91Ou+qmnj04HOfffMd9/MenrjOVq9MwWzf0bcMJSSKgKZxOhfhXf/uip1Ud4l7Tn5fnSvzSZ27wtds5mqaDI1rdGBVZQlNkFqRmV3XlJOmIZzgdY3brAQsGgzz44IOMj49z+/Zt7ty5w3Q+T8O08WFTmb9FPTNDJD1MKNmPrKz9+uwmXH1QRZfbFRW/PFc69BkRHhtzL3uwtrr2FkpN9BVh6434GDsCnZoOel6Oh8d+2K22dTvtqtt6ttoJ+NydArmqjuUIVFkiFfHzxjMJT6s6zL2kP5+/tsyHP3WNieUapu2sGEsSIK2MWXHQFAnLdrqqKydFRzzD6ZiyHw+Y3+/nvvvuY2xsjFvNryK+sYQqt7wutmlQmp+ksjRDJD1EuHdojQG1Oly9mbFyGEWXmxUVH/aMCI/NOQwPVqe6dm117emmQ8OwEUJQM2yapkPY/5qX8jA6NR3WvBwPj92yF23bb9rVVuvCQemZp1UHy0Hrz14/1/b1cDtbwxECnyrjV1/LCmrXwOmWgyTZxAJa13TlpOiIZzgdUzrhAdM0jbHxcXovmpQyCyh6Dts0AHBsi/LiNNXMHKHkAJH0EIrmx3QEkiP4+Dfm+b1npjdMoRiKB7rm/dvr4nMUZhadBHb7+RyUB6uT9UZbXXtN03ZvxlRFwrBaHvKwf/17cNCdmro1L8fDo5PsRdvecja5p7SrbEXn3z35ypbrwmyhvi892+2a6GnV3tjLvcFB6M9+teePn59lJl9npb8XPmXtd1ACfIqMgYNhOVi2g2E7XdOVk6AjnuF0DOmkB+yBoTg94SC5eh+9p8+gl5apLs9hGU0AHNummpmjlpsn0NNPzo4iawEMq4Ju2RumUGiKRNN0CG7Q/nsjdlJ0uZvFp9lsUiqVKJfLlMtlHMfB5/Ph8/kIBoMEg0F8Ph+maWIYBn6/n1QqhbxJbZfH9uxVHA7Cg9XJou7trr2251uRJXyqTMOwqekWuumsa4d/GJ2aPK+2RyfRdR0hBIHA5t763bBXbXv3gwO7TrvyqwqfeGmBfM3Ycl14eKRnT9GsG0sVvnY7f+jNYY47+zFMuq0/+9We9vVQaVrIEiC3moRshKa09KZu2F3XleOuI57hdAgUCgV0XSeRSOD3b9wGez90Mp97dbg6XzfpSw0SSg7QKGapLs9gNusACEcwMz1FqWHhi/eSPH2Wkb7Eht6ZTNXAsh1E0Lejv2e7osvNFp+6brGYyTM1M8PTz73A37k/wXhCxTCMHR13Naqq0tfXx8DAAH19fWiatut9nFT2Kw7d9GB1uqh7u2vPdgQCQSv7vHX9WY6gZlj4tfXXw2F1avK82h6d4Nq1a8zOznL27FnGx8f3vW7uVdvyNWNXaVeaIlNpmhTrxrbrQr5mYNmC1oja7TEdgW05PPmNeZqmc+jNYY4znXCKdUt/OqE97evBr8nUDXvLAcmr9cZxxIHoynHVEc9wOgTu3LnD7OwsAKFQiEQiQU9PD4lEgng8vu/IRqfbaG4Urg4l0gR7emmW85QWp8kXClSaFgBBo4hYeJViPUk0fQpfOAa8lkJh2g5LZYNC3WDECe6r6NLN712uEKLJoGxiV+qYjSqyXidqO1SaJrcNm9/PBvj7bx7ldCq8o/dlNZZlMT8/z/z8PLIsk0qlSCaTJBIJAoEAQgiEEESjUS8ytYpOGSbd8mB1uqh7u2tPkSUkJPcmq+UcFCsFvOs57E5NHh57pVqtMjMzgxCCW7duMT09zfnz5zl37hyKsrfv8360bTdpV7IkIcTORnDUdAtHtOpIdhLNKtZNhBA0DJtESOtKR1mPzjrFuqE/ndCe1dfDal3ZjLbemI6DLEmeruwRz3A6BAqFgvvver1OvV5nbm4OAFmWicfja4ypUGh3F2an22huGa4WIarxMbRABd/CNHa9TDLc8pw3S3mapTz+SJxI3ykC0QQAA/EgyxUDIWCx1GQ4Edz03DYrunQch0KhwH//i69y/eVJ0KsQUKncvQPHIqI4WMIgk2/ypes+fujtF4nH48RiMeLxOKraikLpuk6j0aDRaGCaJpqmoWkapVKJWq225tiZTIZMJrPufFVVpb+/n8HBQfr6+vZ8g3Bc6LRh0kkPVjeKure79tqvm6azYmyDtNIy9m4Ou1OTh8d+sG2bWCxGqVQCwDRNrl27xuTkJBcuXGB0dHTXTqb9aNtO066G4gEapkO2qpOKbL3WpCJ+CsvV1qwcVdlRNKs1bF4iEdK62lH2pNONToed0p9OaU/7epBlaY2ubJau166D0k2HWEDzdGWPeIbTASOEIJVKoaoqlUrFnZfUpm0QrDaufD7fuqiUz7d5mls32mhuF66OBnu4HU9i1MuEjCzNUt79Xb1aQq+W8IUiLQMqlqInpFFqmBQbJpoi7ajoslKpuAZLLpdjsVjnyku3qeSrpMMyerWCbRo4poFtmdimjiyrKL4AAc1P1oCpTJVCwyaVUimVSiwtLaGqqvveDgwMEI1G1y08lUqFxcVFFhYW3BuBjbAsi7m5Oebm5lAUhf7+fhKJBKqqomkaqqqiKErL47hipIVCIQYHBw8tUtWtPOTD6J64G7rRoni7ay+gKUT8CqbtYNitSJNPkwn71i/F9/qsC4+TRSaToVwuY5omxWIRn89HKpVC0zSmp6fRdd0d1JrJZHjxxRcZHx9nZGQERVHchyzLyLK84c3ffrVtJ2lXg7EAf3xldlfrggT4VJli3WSraFahbgItz38qsnWa/mGsiUeJ/ejSSdGe1ddDyNfSFdMW+NT1+xTgXjPRgObpyj7wDKcDRpIkhBCUSiUCgQCSJGHbNpZlYZomjuOsywM3DIOlpSWWlpbcn4VCIXp6etxHO3IC3WujuVW4+ut38vy3z0+gRGKkYn2YzRrV5VkaxeyKhw2MepX8nWuogSBKME1PMEHI78OwnQ29f0EVBtQGf6tf5s4Lf803SiXmc2XuLBWpNRrM58rMzxewHZtqVUPRfKi+IKo/hD8WQNECyKsiPs2ajoHCjfkcUW1tSLtcLjM9PQ2Aoij09PSQTqfp7+8nFosRjUaJRqOMj4/TaDTI5XIUCgWKxSKWZSHLMqZp0mg03H3atu2m922Hz+djdHSUVCpFOBwmGAx23ZDqZCe5jeiUOHTLsOvGZPidXHvpqJ+ablM3LKSVdInVjSGOy6wLj5PF/Pw809PTlMtlrl27tuY1IQS1Ws11CLYdSJ/+9KcJh8MMDw/T39+P3+93dUyWZdeQWv0cK09hLxaZzCokI4HWQHZJRpJlJElGkiUkSSFfM1CExMiwBLUcc40CkiTRq8j8k7ekmb8Y4fpShaYlCPlU7huKM5IM8/FvzKM36sgILJ2V/CaJ1+w4CaTXivAV4aAoMu+4kOabs6Uto1nJsI+abmE5onV+skTYp65rDAOH0xzmKNAJXeqE9nSzsUGntGe13ggh8CkyTcvGsFpzm1Y7Hwyr9buSBCPJoKcr+8AznA6BarUKtLq7rUZRFBzHoVar4TgOtm27KWOBQAC/3+9eCO0Uv9U35dFo1DWk3jUW4eXZAnfyDTrdRnOjcPUr86U1KRRaIExi9CLRgdNUM3PU84uIlToOq9mgmLtJMBjkb77jEfRALy/PVyhWqjTyOYzSElqtQFRpcq7Xz+wLEs+XG1ydr7BcaWLYDsIRWCgYchAtEiaUShAMrvfgyYqKovmQZJkAfhyjTkM30XV9jXdzNbZtk8vlyOVyXLt2jWAwyODgIENDQyQSCYLBIKdOneLUqfXvWblcdo2l1el922EYBhMTE0xMTAAtAzsUChGJRIhEIq7hFo/HNw3D74ZOdpLbjP2KQ7cNu25Nht+uliKgKYT9Cg3TRpYl6qbNXLFx7GZdeJwsXAeZYWAYBpqmuWuVJElEIhFCoRDFYpFCoYBtt67zbDbL1NQUPp+PZDLpZlSsfmiaht/vR9M0HkoKrt2ps5zXMaoK0YCGvGpNdISg0jSpGzb9sQDnFYUXX3xxw3MOrTwAJvMwCUxM5Snfnke3bJzw9s2bcjUdv6pgB4Z4ZzTA0/M57uTq1EwHIckoqko84CfdEyKTt1jM6whJJu/zoWgBNH+AaDhCX09ozTw32HlzGNM0sSzLdcbeq3RKl/ajPd3WHeis9qzWm7BfQSAwbUHDdFzdsZ1WdoOmypxPRzxd2See4XQIOI7jRp7upl1X00YIQbPZpFqtsry8jGVZOI6D3+8nEAi4D03TqFQqVCoVZmZmAHhELpMtlChYGktKgFg8TiAYxkLq+M3ZZikUqi9Az/B5on0jVDNzVJamMZp1KoUKvoZE9XoTxWpyJMHKoAAAIABJREFUqmESrJk0TQtNkUj3BoivGEKTmSrPTeWpGQJbDRCKRfGHwjQcBbNpYSsqeRFkIBCnJx5B9QdRfQEUfxBZUTHrFRqlHFZlCQUJyTap1Wpu+pxt2zSbTTd1zjAMZFl239tgMEg+n2diYoJwOMzQ0BBDQ0P09PSsex9isRixWIxLly656X26rmNZ1poHQDAYxO/3s7i4uCZS1f7ca7UatVptTaQxGAxy5swZRkdHt0zX3IpOd5LbjP2Iw0EYdt2aDL/TWooL/RGGEyEKNeNYzrrwOFmk02nXyXf16lUajQaaprmRorbh09PTw/DwMPl8nmw2i223hkE7jsPy8jL5fJ5EIkEsFtvUCDgv1SiVq5RNyKEQCPjQNB+OrGIIhaDfR38swHc8NLjrZkCjyTBBTaHUaF2T8haGiCMETdOhJ+hjNBkmHfUzmgyRqehM52voloN/ZezAlyeWWCw1aeoWSBKq3GpA4QhBSZJY8vsY6E2RSibwhWNooQimI/ALG6HXWFxcpF6vuzrVbDZpNpvouu6m/IdCIUZGRkgkWvXEmqZ1zNnWbTqpS3vVnluZKr//7HRXdQc6qz13640kSWgr9pUjWgaTLEmE/QpvPd/LP/+2cU9X9olnOB0Cb3/723Ech2q1uuGj7YmDlqeuPVuojeM41Ot1arUamUyGWq2GZVn4/X73ZjwYDHI+GeB7H0jwtck8d7IFGuVZGrSiQal4nIeGh/i+tw7z6Hjvvv+mdsh4odRgOV8i4RdYegPbaGLpjda/TR2AQr6AnZtDCghuX513DUhJkuhdqTVqp2tUbIVXigpGfJRUopdUIoY/EETxBbFljTslm4YtIUtQ8amkEmFCfgWzWaeWnaNeyGAbOo4QVCtNBmIBLpxKk4yu9SRGIq/lQRuGQblcplQqsbCw4H4ekiS5s57aNwipVIp0Ok04HHa3aUey2kZwX18fvb29m6bePfDAA24qZttYujsa2abRaHD16lWuX7/O4OAgp0+fJpVK7eqz6kbR7IZ/1x7FQZXlAzHsujkZfjctbI/rrAuPk8Xw8DDDw8MkEol165cQwnUaqarqRpIAlpeXXQeTYRg4TqvAXVVVBgYGSCaTrqOxbWRddBzuy9V4djLLTK5OwzARwkG1DcKqzFBY4s1nexiNtLIz2sfz+/1uOqAkSe6x2g/HcYhGBePDFcpWnpoNPSHttap6xGsOTwHluk7Ap3E2HSG9SlPSUb/7/6lcjd9/dpqlchO/KmPZMoYtUCSQVown09BpNEpMFxapBmRUbCzLpFC3SSdiTIcvIS2ktm3nXq/XuX79+pqftTWo/dirw63bdFKX9qI9EZ/KX9/MMl9sdFV3oPPas5He6JaNYQkCqsyZdJgffMtpvu2+/j2dr8daPMPpkJBl2Y1OrGZ1hOnuR1uMZFl2U7ja2LbtGlNtg6pdjHu/38f5QYW8LhCKRjSscG7Ah6aVeOpzX+ATTwl64jFed26Qi6MDbse5tvFyN47j0Gg03GO1HyPNJaSZG8yV6hR8r6VQCNEyovR6mVKxSKPRJB6Nct+AH9msY5qtgllFUTAMA9u2GRsb49FHH+V/frNCMFKhx7fxYho1a1h1E1sIdF1ndjpLkjJGvbpmu0rTbC0gvWH6460Bt7ZtuxEmy7JcURZCoCgKo6OjnD17lnK5TKFQIJ/Po+s6uq67+21H90KhEMlkklAohKqqrne1jc/nY2hoyL2xWO0BlCSJgYEBBgYG1nyetVrN/ewrlQrZbNadQeU4jtuEwu/3u81DkskkPT09m3bzO8ii2b2Kw5cnsgdi2EF3J8PvtIXtcZ114XEysSwLn8+3Zl6eJElrsinEynoNEI/HiUQilEolisUikiShqqqbRl2tVunr6yORSGBZFs1mE8MweCge56FzQ250J1c1KDUMYkEfvREfI8kwPauMmbZuNRoN1yEZDocJhULrnnvH38AHP/4Kk9kackDddF3QmhYXesP8m+9+gAeH42sMsLax+O//4ptY6QADaZtEUOHO3BLFQgGzXkLSq1iNCsI2sR0HS0BBU4iHNOq6hewI4ijkF6bJL0zj9/vdtO1IJOI6VNta3c5mWI1pmq5WACQSCfr7++nr6yMePxqRh07r0l60BwnyNeNAdAc6rz3HfejsUcIznI4YqyNM6XR6zWuWZa25mW4/2rU07QV19farjSm/XEPXyywvLPO7z79EtmZiSgqS4kPx+QkHA5zpT/D2+4Y5nQqt6wQnSZK7z43SDPuCEu9+sJ+/fGmBfKXBTKGAatUReg3LtjEtgc+n0ZuM8477hnhoNO3Wbdm2TSAQIBKJuEbFM9+4yrPfKFGWe7h0enDD96s34qNUyFPPLmBWC+gK+HuCaEoruuMIQdUQWMEUZ4b6eP93PcTF/iilUonl5WVM03RF3bbtNYKXy+VQVRUhBLIsEw6HqVarbnvyYDDozm1q15ytJhKJuPOeoDW/686dO26N1MjIiBupuhtFUdYZ1o7jMD8/z+TkJMVi0f25russLi6yuLgItAzrRCLB6Ogog4ODa4yobnSS24rdisPbxnr51S/cOrBuSN2eDA+eYeRxshgdHWV0dJRms+lG7iuVirtubqQdiqK49U3tCNRqh1omkyESiTA+Ps7999/vpvHpus6Lk0tceW6Sa+Uc5aqBuVgG2yCoKZxOhXlsLLUuXU8IseGa3cbv9/MtUZ3CTI5CUWIJjVg0gj8QxJaUTdeFdtdAWZZxHIebczm+cWuOUmaJgYBDKdcgaFiULR1b9SGpKQLRVsaAYxnojTqO1aRmGRiWQ09I4/7hHoLB4JqomSzLrpHU39/vRubK5TILCwvue1epVNZF/9pde69du0YgEKCvr4/R0VE3ve8w6IYu7UZ7huKB1iDyA+zC1y3t8fSm+xwZw0mSpFPAvwe+HUgBC8CfAx8UQhS2+t279pMEfhr4HmAQyAGfBH5aCDHb6fPeKYVCgevXrxMKhdY9dho6V1WVeDy+zku0UZSqbWCpqrrm5vuFqSwvzN4hb9nUzRqKVUOYeWzLZNkwmH7F4dkvCi70xxhNx9zC3PaivdpL1360jZ9Go0FaafC2focr9RLLmoOpBiEcQ10xzM72xXjbeJpHLp6mv7+f/v5+12u2tLTExMQE+Xyrlfl0vkYht4xtLVBwckTSwwRiLSPENg3qhWXq+UUC5Sr1hgEIdEuQreoEVQlHUmjaEsGAj6RU5bFkmPL0Nb4+vfZ9bbfBvTsN4u732bZtd9aTYRjUajUqlQqmabrpfMFg0C2Cbrccf/XVV4lEIvT19RGNRmk0Gty8eZObN2/S29vL6dOnGRgY2LaLnizLblOKcrnM1NQUc3Nzrki2cRzHbW7x8ssvc+rUKU6fPk00Gu1KJ7mt2K046Ka9IwFtmnZrUroEc8UGX7yxzA8+emZP59ityfAe9z7HXZe6SbtGtK/vtVqQdop6ux63/Wg7/xRFcWfgZbNZFhYWMAzD1bXFxUWefvpp+vr66O/vZ7Lk8JfXChQMCV2oRGN9RANBLEml1jC4LduU5wXf35/kof6gayytzhrYCF3XORuD7xkP8PStHHeyNRpFm7oQKIpKPBrl0kia73rgLBciJqVSCUVRqFQqrmFSKpV49naGhcl5ZMvGllrRL7+mkIz4yFcNLEdg2ALVF0AOJfAnfKD6iEcjnElH+IE3DfG6/gD5fJ5isbhufAmwpuNuO318aGiIwcFBNE2jXC6ztLTE8vIyhUJhjeHabDaZnp5menqaVCrF2NjYms/roOiGLu1Ge958NsmnX106UN0BT3vuVY6E4SRJ0nngaaAP+AvgGvBm4J8D3y5J0mNCiNwO9pNa2c8F4HPAHwCXgB8CvlOSpLcKIW5356/YmvYMoo1QVdU1QlanDLTbUm9X2LlZlEoIQbVaJZvNks1mee76FJ+4MsViNo9i1oirDpKmIfwKjmVimSqNRpOarnN9oYAqOcSDa40JWZbx+XyEw2EikYgbjfL5fAQCARKJBG+4eIa/8fB95GqmWyAbDQV55NIZXn/hDOl0esNUsrYh1W7EoN/K4jgCVZbcWVAgkGQVIRw37zziV1FlWMqXsSwbyQ6AquJTJOIBhTO9Af7G+fVex/Z7F4lE1kXWms3mOqFSFMX9nFZj27YrlKZp0mw2KRQKhMNh4vE4Z86cwbZtstkss7OzpFIpUqkUiqK4n027Hfno6OimUajVxGIxHnroIR588EGq1SrFYpF8Pk8+n3e7NkIrTWNycpLJyUmSySS1RgAZh+bOamZ33EluK3YjDn96ZXZLAa3pFpmKTlVvCa3lOFSx+M0vTzKxXNtzxyMvzcHjbk6CLh00m6Wo352aXK1WSSaTDAwMsLy8zPz8vGvs2LbNwsICL92c4qtzOmXCRCIhEgENuZBFAAoQkxVqtsJtofJ7epMf/46HeMPFi66zstlsuhkZqzMzGo2Gu+6fToU5nQqva/YwkggSkk0Wrl3hxtcrVKtVtwNuMBh0jcZCsY5lGGvS3lV/gHQiSkIJUrJUmlIAR2p1Q2vX47z+TJL/59svrVnLHMdxOxLm83lyudw6p1mz2XTT8l566SX6+/s5d+4c4+PjjI+PYxgGmUyGpaUlMpnMmnTKtrMtFosxNjbG0NDQgTWV6FaH051qz42lCp90Fg9cd8DTnnuRI2E4Ab9CS5z+mRDio+0fSpL0EeBfAh8C/vEO9vPztMTpI0KIH1+1n38G/JeV43x7B897x2yWEgCtlLpyuUy5XF73WrstdduQWv0IBAIYhkGj0XC77bQ9au3/r/YufenaElVbpSc9QDzow7FMbMvANg1sU8cxDUKmQaVex7JsaoEIl8/34jiO2x5dCOEes1AouAIjSRJ+v39NOsHw8DAPnz/P2bNnGR4eJhaL7Si6lkwmefOb38ysSPD5mS9Szs7TLOVoVgvYZmuhl1UNfySBoqorg24Vgj4NXyzCG0Z6GE6E8Kuy2+kIWgZq28AMhUL09vbS29u7acFt2yBqp/O1hzJKkkSpVGJ6eppqtYqiKO6+2pim6XaNaueWa5pGLBZD13Xu3LkD4A40Xt2OPJ1Ou1GonRjN7RTNkZERoCWes7OzTE1Nrfne5fN5zIpOY3KarIiQ0s4QCEc32/WuOsltx07FYSsBLdQN5gutdvTtGwwhWoP9lss6n7m6tO+OR52cDO+J4D3Psdelo8JGqclt2il/t2/f5urVq2SzWZrNJq/MZchlqyhyDsmJY5NCDq5Ks3JswpKN1awyc6fAb3+igP7mUfflQCBAKBRy9WBwcND9P+Dqaa1WI10qkQwtsrS0RKlUYmq5umHKoWmamKbpanmhoKOXaggtSE9ogEAsiS8cRfWHUANh+nx+N4phO4JiwyQWUPmBt4yuuxGXZZlkMkkymeT8+fPuPMi28y2fz69pLOU4DgsLCywsLJBKpRgfHyedTrtNPIQQFAoFN3Oh/feUy2WuXLnC1atXOX/+PCMjI5vWO3eKbnU4hZ1pz2yhfqi6A5723EtIG138B3oCLa/eBHAHOC+EcFa9FqWVGiEBfUKITQfjSJIUAZYBBxgUQlRWvSYDt4HTK8fYs3dPkqTnL1++fPn555/f1e81Gg1KpdKGBs5GBZ3QunFvz8QwDMNtTLD6Z+30ufacp3ZXPZ/Pt+amO1PR+Y2/vs1iuclgPIAsSUiyhOILoPqCKD6/28YbWeNWpspoXOUnvvU0ol5gdnaWubk5t0FCuw2qruvuYi3L8hojrx3BaRsrwWDQ9SKmUim3CUUoFNrQQHh5cp5/8etPcWtykh5RwagWW0ae3sQyGiDAF44SSZ/CH0uxWDUZiAX4R99yjr5YwC2CbQ+V7UY3oXK5jGEYbp1WNpslk8msMYKr1SqZTIZcLucamoFAgFgs5qautN+bWCzmGnKhUIhz587tWbiEEO6MlMXFRVcYf++Zab4xU0BVJHqTCUKJNMGeNIq2ttPgcrmJYQv+1v39/Mx3P7DXt2hXzOTr/Ms/fJFbmSpjq7oa1XSLO9k6TctGkSQ0pTWEsmHYBDWFc71hKrrp1kr9zEqx9lbH6Ya4HMQMkHuBRx55hCtXrlwRQjxy2OeyF+4lXdqrJt2LCCFYWlri6Rde4cN/8XUW8hXSIRksE9sykWQJXyiK6gvSnljrCMFCqelqQzq6/Wymtr6apuk2D1qtq47jrNHBRqOBaZprZu9FIhGKTWed7q5GVlS0YBg1EELxh5ipq1wY7uU//72Hd70eCSEol8uus65UKq3bJh6PMz4+vs4p12g0uH37NlNTU2uML2gZtcPDw12vg/p3T77CZ64u4VOkLZs5dEOXuqk7B2XIeNqzNZ3UpKMQcXp85fmp1eIEIISoSJL0FeBdwKPAZ7fYz6NAcGU/ldUvCCEcSZI+BfzIyvEOPC1io5bi7TkM7fB7oVCgWCxSLBYpl8tu+B+g1DDJVJqYtmjNOYoGiAe1dV3e2rTnEEWjURKJBHMlge2PkhgepG8gjeILtAbDbmCwOLZFUCmSy+T58gs1XjcUcY0cwzDWzDxqd6BrH7Od/rA6raKdegEwPd0qMGqnNIRCIWKxmJumF4vF3PTCarVKr1Rh2jGoGRaaJGMbTYRw8EV6ULSWIdQo58hnl5EjKe57+I387Xe8lb6+vm1bt3aCuz2k7fxwXdddT2C5XCYejzMyMkI2m2V5edn97AE3NW95eZnbt2+7nZNisZhbxNuuU1p9vO0WZEmSSKfTpNNpdF1nZmaGqakpHhtLMZ2vsVRuks0XiNarlBem8EXiBGMp1EgPJUPaUye5/bJZN6RMRcewHRRJwqe2asEMuzXgL+xXCfoVgn6F7ToedVNcDmL2lMeBcSJ06SiwmxvLdgfS0IggMNKgxzdD0FnfcEKSZQLxJIFIAiQJPVtECJOi42M0GKTZbK75HV3XKZfLbs3VdjVQkiQRi8VIp9OcO3eOgYEB0um02xRC13VX987dyFGsG1SaJvHgWuedY1tuGnqpYWDZgpB/gNx0CGopenp6UFV13RzA9rDbZDLp6q8kSW4N9Pnz56lUKty6dYvZ2Vn3by2VSjz33HNEIhHGxsYYHh5GlmWCwSAPPPAA4+Pj3Llzh8nJSTeNz7Zttw4qFosxOjrKqVOnttTXvRgL3exwuh3d0J2DNGQ87TlgVs8wOIwH8GFaUc8f3+T1/7ry+j/ZZj//dGW7j27y+r9aef0Xd3hez2/yqF2+fFnshpXjbvh44oknxJNPPimefPJJ8cQTT2y57X3f9+Ni/O/+qBj/rveLQCy16XbvfOc7xR/+4R+KP/uzPxMf+chHttznY//4F8Tf+X+fFN/9i38uTl1+fNPtzp07J5588knx8Y9/XDz99NNb7vOnfuqnxBe+8AXxR3/0R+IHf/AHt9z2Ax/4gPjABz4gfuInfkKkUpv/TcGBc2L8e/+FeOv7f168/j0/uuU+f+d3fkcUi0UhhBDve9/7Nt3u7s9xq31+7GMfc7f72Mc+tuW2q7l8+fLm7/1jj4kPfehD4gMf+ID44R/+4S33+WM/9mPi13/918VTTz0l3v097910u8Hz94uXZos7+pvOv+M94r7/82fF2X/wQTH41r/Tkb/pfe97n7vdc889t+U+n3vuOXfbrT6n+KkL4oGf/qQ4/2/+t3jwp/9qy31e/gc/IR7+4KfEe37lK+IXPvLRLbd92y9+Vjz+4c+Jt/3iZ0VwcKwjf9Olf/xfxeMf/px4769+RZx72+bv6fj9rxN/9dK8+JPnZ8RfvTR/4N+9nf5Ne2Xl2M+LQ9aXvT44grpEBzWpG3TqO/yeX/mK+Jm/eFm8NFvc8js89JbvFI9/+HPiPR/9nHjr+352y32+/n0fFt/6Hz8n/uT5mS3XmqGhIfHBD37Q1aWt9rkb7f7Wf/2b4uI/+s/i4ff/JxFKDW26Xc/oRfHEj/1r8VM/9VPbasJHPvIR8YlPfEJ85StfEd///d+/6XYPP/yweOmll8QnPvEJ8eSTT+7oc7IsS3zoQx/actsrV66IQqEghNh6rRl+9Lvcz/QP/vILW+7zv//xU+K9v/oV8dh/+KxIPfLuTbcbv/91XfnuvfdXvyIe+dmnxOMf/pyIn7qw6XaJy+8W3/XLfy3+3seeFn/rJ39ry31eeP9/dbWm/83fuel2e70f+en/8Etbbvvdv/wl8fiHPyce+dmnRM/IxU2364Z2H4V1qU0nNekoRJzaJvf6uPLan/cc0H6OLMHRB/H7AziKj5mvfxrKG9clBwKBNdGtrcje+ibFuVs4tkV1efPmTpqm8cY3vnHLmqA2p06d4h3veAfQiqL8zu/8zqbbNhoNcrkcpVJpTaHqOvQa2avPsnxDQ92m885nP/tZrl27Rk9PD7du3dp0O8MwKBQKxGKxTece3U173kQn6O3t5XWvex31en1desTdlEolpqam+OLzr/LVKy9tul25afLBj7+yI8/S33/X36A28DpeuHqbiamtO/rNz8/vqPNfN9AtB91qvT+GLbbcVpYgtNKqdr7Y2HLb4Z7XrpGXVYWtt94ZEf/GM0DuZq7Y4COfvrFtPr/HoeHp0iFxK1N1PeSV5sZp7NCKsJiOQPUFiaSHt9xnafYGTrPCN/3TbtbDRgQCAd7whjcgSRLhcJif+7mf23TbRqNBJpPBNE1yua17hNgv/DmVpRLLukmzunkzRrlRYOLlK9xR1TVNfjYik8lw7tw5crncmvEUd1PVbeJD5/ib4+NMTk5uuc9yuYzjOG7d7lbMzs4yOztLMplc16RiNZYj3M/0y8U7W+7zjWeSPPboGH9yZZa5gMZm72o00J1b19Vd+HRr80YVYZ9C2L+ze4aRRJDeFa2Z2keTpc24Mr11c8/b2ToRv4JflTE36MrosXuOQo3TrwHvA94nhPiNDV7/EPCTwE8KIX5hi/38JK1i3Q8JIT6wwevvA34N+DUhxPv3cb57yiefm5vjypUra37WNnDaz6sft3I6v/DUBHdydWJbDODbLLfWNM01bckn5rL8wp8+w/TsLAnFwNYbCDb+7IUQlEyF/t4kP/ytDzLan3CbI7RfF6I1xb3dort9nNXPqzsWrX600yHq9bqbR36Y+Hw+xsbGuHTpEvfddx8PPPAA999/P5cuXcLvb+XD7zfsvlnqgq7rPPfqLb76zRvkCgU0GXr9Ap8wqFQqCCHw+/1YlsXNmSW+eGOZYt3Er8oEfa0OgIqqEYj3Eh08gxUbpi58O6rzWX1uV24vMr+wiF4p0CPrpMLrjWOfz8fp06c5e/as+750k5fnSvzJlVm+cG2ZuWIDAaiyjLqSJpGO+jcUr+VyE1mWeOKdY3zvSjpHN/PnN8uPv5tC3WCu0FhpZyvRH/UT0OQ1rXEH44FjkU5xDGqc7hldutdqnF6eK7nDZfeibbD1NSeEoFnKUZi5QTUzh1Gvki3V6AlpvOuBAXpCPlKpFH19fUQiESzLclPzLMtytbOdPt/umNpOn79b05rN5qFpWG9vL+fPn+eBBx7g8uXL2MEEX71dYCpXQ0dFDcUJxBKkUr28bjTFex85xcW+EFNTU9y6dWtDZ6XP50OJJClKUeRAxNWrwZiPubk5vv7SdV6+s+B2GBxNhqkbFv/rxQx5JU6qb4h0PLTrz/RuDqvJwX51ZzAeZDJbO5BarfZ1cG2xVVNt2q91ZpRohX3a/9eU1udxaSC2pxq6e53jVuPU9rhtdhW1f765S6Wz++kKqVSKRx55ZE0jh6289x//0isslvU9T7HWNI1oNOrWUNWyc/TYBebMGqVaA5/dwGzUMJt1LL2ObTRxbBvh2BimiWMaVIXFT3+q1UHv7iF6xwnDMHj11Vd59dVX1/xcURTGx8fpP3OBjNaH0zOClBwlOXAKn6rsKH94K4NrMB4ACRaKTcrNBM2KRDM3h2pUVwY3jjCSCLoNRRZndHS1QTBQI6C8ZvTalkktt0Att4AkyTjhNDf7z/I/Ijb/4R88tm2UqNXN5xxwrrW/lXa/s7OzZLPZdpoQhmFw8+ZNbt26xalTpzh//jyRyNbDAvdDuxvS+XSEX/n8BE3LpjfiJ+xT8Wub/013t6rt9FT6u9nJ8MaabjFfaHkxZUlCXRnimAy3ah7aNxaT2Rq/8vkJ0hH/iS7kPQKcCF06DP74+VkWSs09axusr0lJR3w0KwWqmVmqmXmapSxms4ZRLVPMZdCrRYRs8clbjqtn7cdmzZnuBdp1tM888wy/9Vu/BYDsC6LF0sRHLxI7dQEl1svMDZmJV+J87Uof/+Tdl/nuN41z9uxZt+613cxoKlfjKxPTTOVqNEwbVD+hZD99/UOcSsdX9CpCrtxLLTuPWc4S1BR0y6bStAhoZRwjQ6XWR7h3EC3Qqt/dyWd6N4c1yHU/uqMC88XGgQ3SfWW+xHKlZYAJIVAkiaAmr6ldF0Jg2gLdcpAkieVKc88D7T1aHAXD6frK84VNXh9feb5xQPvpCoFAgKGhoR1te/eNnm2ZmPUKRr2MUatg1CuYjSpGrYJer7CczTP3cZ1nf0OlXi6QzWYpFApUKq35EhsNzdsJx9dU2hm2bXPt2jWuXbu25ueqP0hs8Czx4XNEB89STYxwvWeE/ybEmhverQo254sNvjlbAgl8ikwirKGFYvgDUYr5PFfLWWa+Psu7H+zndad6aAiNZT2LiPRyKnUWWVawjDr1/DJGteRGD4VwoLLI4tIMn1p4lXPmFG+4f5y+vj76+vp2NCNKURR30G6j0WBmZobp6WkajVYym+M4brHwwMAA58+fJ5lMdvjdf413XEjz5y/McStTJR7Udt2qthtT6Vezk+GNq4uMkVvt2GznNeO3fWNh2nVuZ2r84iev8QNvGfVayR4eJ0KXDpqdOjGEEMRVm+tz83wxd4v/r3oNmmUymQyZTIZsNsvE1Awv35ymXi5gN6s4xtaKVaXV3vC44xgN9Ow0y9lplq8fRaPpAAAgAElEQVR8GgAlEMYX6+VOJMnVv+rj42+6j29508M8/PDDvPGNb8S2bf70r7/JH71wi2yxStNyCGgyqtOgMD/J7O2bPBeIo8V6CcZTJKNBIkNj6KkRMguz1AoLOLZF2B9AOA613CK13CL+SJxwaoBALIUkyx0xFg6KvehOMuzDEXRNa+6mbtiUGqY777LdwGI1kiThUyUMy8G0HbJVnS/daM0U9fRlbxwFw+nzK8/vkiRJFuvbvj4G1IGvbbOfrwEN4DFJkqJifdvXd911vAOn2Wy6Q+ZyuZw7xK49uLT9mJhZZHJuCaNe4eVmFUvfvvoiQ6tv7j2NrCIpCpKiIskKsqKCrCDLKqqqkIwEiIX8bj2SEALHcdwuQ6ZpuumD7ZqhdkqhZVluiqHjOO7P2/OpdoOlN8jfeZX8nbURqqvBKM9+dIxvf9sbSQyf5elcgJK/n1TfwLoWp4Wagd02aBWJnqDPDf8PxIbIVVMUqw2+nK0ykBLM5FsewKBPAcfGcWxUX4CB+96E4gtQzcxRXphErxRBAk2RqJQKfPFrz1HOzJNIJEgmkyQSCdeIag/h3YpgMMiFCxcYHx9ncXGRiYmJNfn0i4uLLC4ukkwm3anznR6auFnHo43IVXXCfpWHTr0mCN2YSr+a7YY3Nk3bHZwY1GQMW7RSLFedz2sDFi3qhs3XJ/PMFhqkwr6utJL1Zn1sy4nRpYPCNE2+9OJ1ZidewShkmb5do1kpoFcKredyAb1aRK8U0VfN7LvKvfHmqJoPFA0UDUnVUDQfiqKBrOLICoqq4tdUhhMhkmH/Gj1yHMcdabG6Fbppmq62WZblapZlWdvWQK3GbtZoNGuwPEXlNvzms5/iN1deC4VCDA6PoMdGEL3nSY2cIxVTsZpVEGDJKjXArBYwqwXs7B16R0eI9w3g640RCIwxFe1HL2YoNrJosuNGZtodAxVNI5TsJ5Qc2LexcFDsRXeGeoLMFxtd05q7qRsWuuXgCIGmbB4Nsx2BLQS2gIbh8OlXl3huqtD1VuXHVWcO3XASQtySJOkpWgLyT4GPrnr5g0AY+JhYNStDkqRLK797bdV+qpIk/U9arV3/HfDjq/bzo8AZ4FPiECa067pOIpFwPfb3KuFw2B22GolE3Ge/v2XM6LpOqVSiVCq5hkr7JrpdIxWLxdyb9kgkQqFh8dXJIsWGTUB7rW5HQkJWWwLUdGR0odDXE+V7L49wKhFwZ2g0Gg13tlW73qr9Wr1ep1qtukK0eir86mG27Yjc6jay5XKZWm3T8SwbYjUqzFx9gV+/+sKanyu+AOHeYaLpYaL9IxiRAczYKXw9fUiqD91RWCpKnO2LujfU7UW6YgeYDfZz5j4b9VYTu5x39+tYFtXMHJIsEUr0kzr3XZj1CoXpG1jzM9h6HdMWbk3Z9PQ0kUiEZDJJKpXC7/e7uf79/f1bRqMkSWJwcJDBwUFyuRy3bt1iaWnJfT2fz/Pss88SjUYZHx/v+NT5/bSq7dZU+jbJsG/l+AZ+VSbq19akdLQNN0VuzQCxHQefJhP2tZbfuwcsSpKELQSVpkmxbnS0law362NnnARd6iTtoantgauLi4vuc/uRzWYP+zQ3JRgMEg6HCYVCbiq93+8nFouRSrXagrdfb4/RWD1MfbFq8YfPzbJUbhKQBSHFxjF1d8i8ZZrUag10y8YIaYyP9zLYE0ZRFDRNQ1VVVFV1NQlwNQpa629bT9vGVj6f56WXXuLq9ZvcmprFqJfB2f0NeL1e59bN67SCo59hDvDHkoRTQ0R6B9G1GKYWRtECyL4AhulnYWYKp5JBVhTqUhDH9qOFY6jJAWypSdAp0izn3TRv2zSpLM1SWZqlroQhOUBNP/opkrvVnW8Z6+WPr8x2TWvuNkQKtVW1dZvorWk7GJbD6jMSQMO0u9aq/LjrzKEbTis8ATwN/LIkSd9Gy8n0FlqzLW4A//au7a+uPN/9TflJ4J3Aj0mS9DDwLHAf8HdpRen/aTdOfjv8fn/HvfC7wefz0dPTQ09PjzvnIR6PowbC6JIfXyhCTzzO2Kk+zgz2EolECAQCroBomoamaW4RbftRr9fJZDLMzc0xNTVFpVIhGAwyMDDgHttxHHcqezqddg2sdm75c7MZakYrLSDkf+3r6NgmtqkjHBscG6thMD1v8b/mX+VNZ1P4fD58Ph+aprmDCRVFIR6PuxGlNobRqtNqG07tYbS1Ws2NTrW39/v9JBIJQqEQuZrOnaUCtmEg2wZms45RLyPs3S34ttGkPH+L8vzaDn+SoqHF0yixPrI9fVSGRugZGiUQS7W8laqPXNniWafCqbdeJDF6iVqjQcypUMstYButgmbhCGq5Rer5JYI9vfRdeANW+gJOeZGLpyROx+Q1xc3VapWZmRl6e3vdz/CVV14hHA4zMDDAwMAAiURi0+9sKpUilUptOCekUqlw5coVrl27xvnz5xkdHe1IJ74Hh+NrOh5NLFfd1MfVzRXO9oZ54vGxNYtyt6bSrxaHXNXAsBymcnUCqrKmiNh2BAKBREvE2jNA/Jrs1j61BywGV5pFSEA8qJEM+zpW++TN+tg1x1qXOsk3vvENHn/88e037DLBUJhgJEo01kN/X4pTA/2k0+k1cwIDgYCrabIsI4SgWCyyvLxMPp/fMLU9GAySTqdJpVJomoYQwm0MUSwW+eRzd5idySI5Bo4qURW0rvlVa2jILyNsk1K5yosTzf+fvTcLjitPr/x+d78390Qu2EgC4F5V7OraeimN1IukllqtkaUYz4Qs22FbD+MIy4qYCUc4wnqxNPajIxz2g+Unh8cPjglrumNmWg6pZaml7uqunq6uvYosskiQKOzIBHLPu29+uLi3ABIAQRbJYqt4ojKwVBIJJJD3/L/vO985MFval8skCELGZXvf7r2pqoooikiSRKlU4plnnuHqtsu/eWcdy7YoSzHOoE1n6Sr91es4ox6Rf3Qm1UFwh13cYZfu0uXkE4KElCsiG2XIlbGKVeKpWfRCCV/SsUMFFANBVomrTWbOzlOePY3VbWF2trLpIYA97BJZA66/5bNYfpG5ublHkrl4P7hX3jnbKPD/fdB6qFyztxDxg4goIuMW9bapUxjFSdG0xwdMFAXKhkKjqD2U3drPAs88FoXTbnfvJeB/AL4JfIskmf1/Bf5FHMdH+y1+/HU6giC8DPwx8DvALwEd4P8E/vs4jg/3237ImJiYwLKs+/vHgois6si6gazt3lQDWTeQVANHzNGcmub3f+1FLp2bZ2JignK5nHXJRFHMxv63J6Knt3Rqk6ak7w2t3YswDOn3++zs7LC6ukqv1zswLNAwDE6cOMHZs2ep1WrJjyEI+8hgx/T5kX0FVe/S0CJCzyKwTXzbJIojBOnjP8+SHtMzfSxJQStWKRsfX2jTSZGiKKiqmnUI006eJEmZvCGV5oVhyOLqFu9eXaTT2SH0HJTYJ3DMbGnYDyIk1UBScyiSiBFHxMTEYUgUBoSuTeA6BK6Jb4+J73GXLA59vO4GdDewgf47yedlI0+hNkO+Pk1cbHJzfZbLYgtrdUzLDNEaZdR8idgI8cwhoe9nnUirt82426YT6Fw8f57/4j/6Iqo/YnNzk3a7zWg0ot/vMxgMsl2BiYkJpqenAbh58yY3b95E07SsiKrX6wcWP8Vikeeee46LFy9y8+bNfanzlmXx/vvvc/36dU6fPs38/Dyy/MkuN1+/2KRR1PjOW2u8v5YQSBQnHbvJos7nTpT5D1+4s5P1SaV+B+F2ctAUEdsX8MMI0wtwgxDTC5itGJnDkR/FCALoikSjmLgSHhSwmHaWJVG4r6Xqg3B5fcCf/mAxczKbvs2J7Ik5xZ34LPDSg0J6/XigEERERUPRDCYnShQLecrlMrVajenpaebm5piZmWFmZibbySwWk6m94zjZpD297Q2UB/ZJuguFAoVCgVOnTtHpdGi325immfFhv99neXkZ3/fRNA1d18nlcoiiyMD2ubW6hWv5VFM30jgiCrzdiZNPHHiEgQ+ChOPHbGPgTleYKJdRVRVZlg9tMKW8PBolKs+B7bM9cvDDGEVKgsr76wNiwMobyIrGiee/wplf+g9Q9DxhGDLa+ojuR1cZtlexejuEroUYunju/iDgQxGHhGaf0Exk2i4wvJLs+0p6nljWEbQ8ol5kpOqYbxQoVavkKpPkalMIokjouXiOjWkGFCt5JtSIq1evcv369cytNZd7/GRc98o7D5tr9hYi3bFHGMdEceKoBxGKJGadGz/cP2kSBJDFj2XiD4pfUnxWeOaxKJwA4jheBX7/mPc9tIyP47gL/LPd22ODWq3G1tYWtVotk0ql76eFTjqqj+OYH97ss9gLUXWNSiGXXIijKBnFCyKqUUAxCgxDiSCEL8yV+MUvnNpnpfqgLFKjKGIwGNDtdtna2qLX6yXTC8dnaPtECKiKzEy9woUz8zz77LOcP3+efD6fTa1UVc0KsnT6cfmjVQb9HpoYoagaiqpBoQpAHIWEQeLuFwYeoe+hMyYgZhxJnKnX99m5pxOn25GSo2EYlMtl8vk866OQ7y8OuOaqDKcaOPkhTncNhjtUCxHnqgo5MeT6+g695W0iUaawK2OLQ58oDBIHwt2MOoEYUVQYOw54Dobg0e31CcwBvj26Z/lEYJv0127QX7uRfe7mdxVKzRmi4hRO4wSTJ+Yxqo3ERc938B2LKAyRFA0zAEm0KQxu0l4qsrCwwBe+8IXMLW9vwTsYDOj3+3zwwQeUy2VmZmbI5/O4rsvy8jLLy8vIsszk5CQzMzM0m807CF7X9X2p87du3cr+9lzX5erVqywuLjI/P8+ZM2c+UXcxdTy6V+30g0ylP4wcUsmdG0YEYUTgBiztmBR1OXM9yikSsxWDvCbdsfsEH9vH7pXywSd3YHoQTmafRfx956UHhb0qg6NQKpVAzeOLKpKSNNAkRUFSDWRVR1J1ZE1HUjXsUCAWFJ67OM8f/OaXmJubo9lsUiwWUdXEjXJvgbS0tJS9fxynvDiO8X0/Uz+kzUXHcRhYPjfXuwwGfTzHoqQrmZwqlXArikKpVGLHFXFdFzFw8UZjojCRqYuygqxqaIVK1viUZBXNjdA0leaZaZ6ZLmY7Tgfd0p2mKIrY6Jm8t9pna2DheAFRGCAIieLA8iNkUSAKfLzAx7PHjPbkMoqiRGlqjurcBfqmixA4fK4moPsjLi8uc2tti8AaEtpjouCIPMXbELj2/h1sQUTUcvhGATtXRM7lkWQFxSihFct4gpoUq67M1be7LOdyVCoVlpaW+NnPfsbCwgJPP/00zebjNYm4F955FFyTomoofNga40YxcRQTChCEIZIoEJO46aVlceJGLqBK+7kFHozDH3x2eOaxKZz+vuMHP/hBNvVIL9CDwYDV1VXa7Tb9fn+fscGZssjyZptex8NSRIqFAlquiGIUkFSdMIrodzpYXshkSefZieID05CnumvHcbKD9XA4ZDAYJDK7WGbZNehYMoFUQclXKE3PM5g7S3DuJKc+P8VkSWQ4HLK5ucloNGI4HN5BZoPROHODueN7UFS0YhVFzyHrORQ9R9kTkVWN3/jFeX7tQjXLjNp722v0sD1yWema+/ImNgc2f/H+Jj3TwxNUiuUyRqGE0ngZ040w7Q43zC2+drrIt56R6Ly6yNZ2F03yiNnVnYtiIgcMg90iKtjtKgrkDYOZkkJgTBAKEsWcThSGBE4ylbLGI5xhj8DsQ3R8yV8Q+HQ3loFl+h++xjogSDK5SoPcxCT52jRqqYZlO9iWSclQQJ7ku99dyXbTFhYW+PznP8+Xv/xlhsMhN27cQNM0ms1m0pUcjWi320RRRKPRSA45JNkm6+vrrK+vI8sy09PTzM7OUqvV9hVRqqpy/vx5Tp8+zcrKCjdv3sxs7H3f58aNG3z00UecP3+e+fn5TyThu1er2k8i9bsdh5FDNaeiSuKuyUOIGyRFURDF1PIqlhdSNhQquaRw3Lv7lEp6bpfypfgkDkwP2479CZ6gUCjwy7/8y1QqFaanpzO5b6vVolqtUiqViOOY8XjM9ZUWf3dtc18enShKyKqOqKgouRKBMYGSb3Bh4RR/8tuf40Izx3A4ZDQasb6+nhVId2sOpmqE9La3oeO6braL6/s+URTRHjlc3RjtWjxHxJEMFBEdhwIO00WJki5nsnXTNNkcurhjUMoTVBrTKEYeUVIQZZnE/+NjSIpCHMgoRp7Tly7w6y8t7Gv+pUZGe82OfN/nlWtb/O2rN+lPWvglF42Ef0LXwrFMBNvCc0282EMV7mzURVFI5Fp4joll+lRyCnNT0zTKcyi1k4wrm7iWiSEnu7pWbzsx7BgPCKwRHJL5eAfiiMgZ4zpj3N4WICAbeVSjiKDlEYxkR7pRn6TVauF5HpIkZT//G2+8ga7rTE5OcvbsWWZnZ7Pdsr23T6peuF8ch3ceBdekyGky1ZzCztgj3jWIkASBIIoz11YBEuMIIXn/dm6BB+Pw91nimSeF0yPC9vb2HbbWw+Hwjs+lmCwb/Mrnz/DausM4UjAjgVARkSOBwPJw/AhdFpks6Xzrc9PM1Q5e7JdlOdsFSt+m7+/VUqe38XhMq9ViY2MD13UZDod0Oh2CIEBVVTaGPm+3fGyxRFyvUZmaRTfyeJ7Lh9cXuXXtCn/9vZBvfW6aZ09UjnxONFlEFAUCScOo1lC0HIqRR9bzyOqdAath30YVBIo5LdvT2os4jrFtm59dX+c7P73BB8sjBsMhvmMhJi7QjNwAP4wp6hJVHcRgCP0h9NeoajlsucC4fJq3XZF/Mqdy8bSPq5SQJYGyoRJHIYIgIuvJC92zRgSuzWBkUp3wOdcweG42z7/72RKdwRBBBlEIUQwBSdVRijXk2jyhKCIRJwYO1ojYGYI1wDP7x5b8xWGQ5Tdt30h0fqKWJ1epk5tp0m/5BGY/O5T/9Kc/5dvf/jYzMzNcunSJM2fOMDk5SbvdxrZt8vk8lUolO+CMx+NMjpIiCAJWV1dZXV3NJlFTU1M0m82MzGRZzuR5a2trLC4uZl1a3/e5cuUKS0tLPPXUU0xPTz+y/b/7lfrtxd3IIa/J5DUZx09yTTYHDrW8yj/9pdN85601lnZM2sOkC7l39ykmKZrCKN4n5duL+3Vgeth27E/wBADf//739308Ho/5sz/7MzqdDsvLy5kkbGYiz9efXeCnK2PGgYgtalTqkxilKugFxnaAjkddCfh6bcjmBz9j6a3DrcbjOM72ZvdmMwmCkAW8poYKadPyIHy0Y/LGcpexk3CEIosoioKg5vAFBVNVaCsw0xCZzAlIUmJkpLdHtJe6+GGEO+oRxxF6sYq62+hUjHzSANRySIpK2LcxFImFhYU7JI6iKN4xkb+8PuA71x02ozJRoYSaS9zRYmIkBEoCeGGEH4YIUcB0LkBwB7ijHr41wndMoiCEOGLk+BgFnVPNPDP15Fo/WytSLFr4co58TkEUBaqnLhAGPkEQsTO0cEddsPoEVh9/2CW0B3CsyVRMYI8J7ET2L4gycqXCLW+bmZkZJiYmMuMmSCT+kiSxvr7O5cuXKZVKnDp1ilOnTu0zLyoWi/ucYh9mnuD94FFwTYpGUWPsBpi76oW5eo4wjulbHn0r+VsXxWTSpR3CLfDJHf4+SzzzpHB6RNixQt5c7u6bftQKBSRJIgxDBEGgUChku0mp1vfpns2//6jPctfFDgFRIicrzOoaF2YrfOvZkzx9opoVQ3sLpaN003sxGo1YW1tjfX0dy7KyRdnBYJDdR1EURqHE5Z6NpTUoFguUcho4HXA6GIAmxYx8n5Yd8hfvb1I2lH0FnaqqlEql7Hb6czLvCze51bEo3zaCvh3HWaQUBIHXVsb86U+32RzomMYsheocRWJc12Fru4svjBE8E0UKEW87sIeuhepa2LbHclvh9fJ5/tNv/gKt777OysYW4FHUFQRBIHBtZE2nfOIcY3Jo4zHzuZjff2mShh6xHNZ4d7WHSERJFYhCP5H3hSHtgYll28RBgBQFyKGPrkhUcipxHOLbJu6oz6jXwRl2CEddAu94joyRazJumVxpLXOFj41BqtUqtVqNcrnMYDBgcXGRWq3GqVOnsn2w8XiM67rk83ny+TyKohBFEVNTU9RqNTqdzr49vb2TKFEUqdfr2QJ1qVRCFEVOnTrFyZMn2dzc5Nq1axlBWpbFm2++SaVS4cKFC49MmnG/Ur8UxyUHXZHQFSnZXxIFKjnlji6kKAqEUaJPD7xEXqHvkfLdjnt1YErxsO3Yn+AJAFY6Jq9dW2Fzawtn2KWuJQ2YvYY7uVwOSZL4kq7zDxyBH98acLPjMBglE4rYdykqEvP1PL9wusapXIjjJH+HYRhi2/a+AFvP8xBFcZ/MPS2QbNu+6/6OLMtomkbPiflg5OFV5qhXJmjUaoiSSBR4+OYIz7UZOT5DL+RDX+e5cycoiR7b29s0bB9dUXAECbVUQdVziFLy/ai5AkalkURrcG+GACm+/WbScLH9MPsayZQaot1w04TKRAJJZZscF+Zm912fPMehtdPFHwyYNGL+yXN1pvIfnw2WoxXeXe0hSAIlI5FBEkf4ro2nDhgXJiDwQYiJghAt9shhM2qvYfVauKP+rqvf0U2/OArod3fod3e4evUqhUKBubk5zp49S6FQoN/vY9t2tkfmui7b29u8/fbb1Go1Zmdns0Kp1+uxsrICJDy3t5CqVCp3jdp42HhUXJPXZGarBks7FmEUs9K1mCioWUMujGIU4WhugfvnlxSfJZ55Ujg9ZKRuKG9cXaK1OiAWE9vRwiZcmKny0jNf4NJ8k0ajQT6fR5blbCqUuv78AQf74UPy4nqrG5JTRZ6ZyXOyerzK3bbt7NA7HA7xfZ/t7e1s+uC6brYbpCgKkiRxdcvDlvMUVJWSLt+xuyMKyVQGfIaBzPt9iW/+4lNZoaTrd46aP3eyS2vsPZBFyqP0wI6vMQwkrPwEogCuIlLPgRIkWSKeOSDeHW0XdYXNgcM7V67z0kTAP3ymzl/IKu3BmM1BD10WkEUBb+RgbXRQFIX65Az/ydde5ne/chGAiTOf54+//Tq3NrYJYpe86BO6FnEUMZmr0Bo6uEFCMposMlky0BSROI7wPZfh2EIKIiYrRX7vSwtU1ZBbt25x/fp1PvzwQ27cuHGsHA/P82i327TbSfSjLMuZw2KlUmFxcTEjGl3XyefzdDqdZB9nd9p07do1CoUCzzzzDPPz8wRBQLfb3VdERVG073F0Xef06dPMzc0hyzIzMzNMTU3x0Ucfcf369azr2+/3ee211ygWi5w+fZoTJ048EBe+u+F+U+k/CTl889L0vi5kx3Qx3YAwiDAUiYKuZE58t+N+DlwpHrYd+xN8tpFy3N/93Q8YjoZEUYwoChiKxFwtz5cXKuQMIWvkKYqC53mUiPjWaZXtRsxKN8ANVDRZ5ERZJy9H2LbFykon4yNRFHFime2RhxuEKCI08gqq4GbGCQdBVdV9FuO5XI6JiQmazSYTExOUSiX+lx+soAjrNKwB+djC6W3tK7o+5jaPnunx+uqYf/abL1Cv1zEMg/A7P+OHb10jiDzyelJ4eNYYzxoz2LiFXq6TqzYZRPqxDAFSrHYtfrbU2Z0cxMjSbmTHnvvsnVZHcWIz/eHWiHJO2S8Py1d5amY6czO7udXn9etrdHo9Fk6GfDTw2e4NSRuEoiCi6HnqDZ1w6OB6PqFrokgeZSOPKlYpNE4QxjHDXodRdxvZ6lGVbfrdLt3ODr539FRqPB5z5cqVzNX10qVLnD9/HlVV6ff7mdJF0zQsy+Lq1atZAza1kE+NPfr9PltbW1n0SaVSodlsUq/XqVQqn5qz8aPgmmpOZVwIGLtJCK8iiYgCSE5AFEPFUGiW9EOLpk/CLyk+SzzzpHB6iNjvhqJSOHUpu5B1nIB3xzJtSWf+2Tm+MH90x33vi+/y+oD/48dL9+yR73kem5ubrK2t0e0meUCdToeVlRVarVbiJOf76LqeZTSlFx9fMuiuLeHFDjX9YymBKMm78rpEZqcYBSYVg5s7Fh2tgDYxQ/MRLe0fpQdOLkKJ1lcQwA9hEKrMNyoUGrNEYYA7TrIn3FEPXfGw/ZCVrsmLcxP8znmdn9w0WVMr9MYOI9PGD3fzn8IQc2eD//1ffZcf/PRNfu/rz/P1Fy7wz3/zhez333cD8pqEFLoItoWq9oktk8izIPAYez5OkGiTHR90rcDshMq3PjfNmankdzkxMcHLL7+MYRhompbJP999913efvttrl27dqCV7l4EQcDOzk62D2cYBhMTE1QqFer1ejZpEkURy7IQRTHL7Nrc3MQwDJrNJvPz85nMwnEcwjDc1+FzHIcPPviAGzduMD09nZmgnD59mpMnT7K4uMitW7ey73c0GvHuu+9y9epV5ufnmZ+fR9MOlhR8mvik5HB7F/L/fm2FDzaG5FSJ2apx6Nc5rgPTQXhYduxP8AR7OW7HFRGDECH0cM0R27ZDa1PlxnKO3/rCOV5YaABkTZMwDJPmi+PQEGws38IZObQGYrb3I0lS0syxI964vsX6Th/HD4ijGEFMFt2bRZ1n5yY41ahkMRppoZRO29PmXbFYzJxmPS+ZGL1x5QavvPIa7e6I6bKOd8ABWxBFtEKZwlSZdVvGajSZPP109lr8r377K7SECW6sbODYXTR/hLC7FxRHMWa3zdbGOk4sszB3it+4ePFYz++VjQEbA4eYhLtut5uGZG8l/bwXJEG6jWLCowfJwwD+5LtXbjs/VMkvVPHrFqEzpmuO0GKH2Bnj+8kurigriHIlOcjrEn7g4dljzPEYRTY4efYpfvFcgykjptVqZbL/zc1NWq0W29vbR5p2mKbJa6+9xmuvvUYul+PFF19kYWEBVVUxTRNZlrNzSRAEDIdDLMui2+2iaVpm054WU71ej+3t7WxnO1VENBqNxx6h7XMAACAASURBVNK973bcK9eIosBkSec/e3mOekHD8kL+/N0Nrm6OyKnioUUTfDJ+SfFZ4pknhdNDwsOyZbxXj/wwDNna2mJ9fZ3V1VXG4zGj0YiNjQ02NjawbTuTCZZKJXK5HKqq0mg0aDab2eH1zeUuLjKliTqVZg1ZzycFk3rwlOi4+tUHtUh5Nz3w3n0SRRKxvRDTDXD9JOVclGSMch2jXCeOY4KtNv5whyBOCGmulmeulufHN7b53pWEFAViDDFGUyVCYraGDv0rS1z7aJ033nmXb37hKf75L87wN0vmHp2zhGbkOTkzw3RFR0BgrTOiNxji2WMi16YZu5wowJfnK3fsrt2u0b948SKXLl3iD//wD9E0jaWlJd577z1+8pOf8Oqrr97VAn/v5BGgWq1Sr9eZmJigXk+ei5T84OPubRqkOzs7S6PRQBTFrKMbhmG2O+f7PisrK5mkQtf1rIh68cUXM1v7lFA9z+P69evcuHGDRqPBiRMnmJqa+tRlFykeFDmkjZAT1Rz/4s+v7Nt9ut/GwWF4GHbsT/AEt3PcufmTjDZcwiDEV0CcnGTshvTckL98fwM5cpnQkmuOZVlZxl8ul8uuHVEU4TgOpmnS7/eJ4/jj3SM3JBBkdD2PqmlEooqDzLam8Y6V5+zMOb76ufl9cvDb94UGg0EW3p1+/TeXu4xtB10R98m31VwBrVhBKyT7SsLuJHzctxm5wT5uuzRb5r/++jn+9AcCm4MaI9NG9foEg21ce5ztJDfyAl+ZDGhde5NX20ucOHGCmZmZQ51GV3s2jhfuLv4ffQ1UJBEviBCBb16a4nOz5TvkYUedH8ZOgCIrSIUq9UYzkwJGno0e2pREB3c8pNUdYvshkaSj6gaN5hSnJgyenzYoST7D4TALQD916lTmwmuaJt1uN1MmbG9vHyqltCyLH/3oR/zoRz9C0zSefvppTpw4gSRJ2f6aoijouo4sy/i+jyRJiKKIbdsMh0Mgke/n83lKpRKdTieTlefzeSYnJ2k2m3eYHD0uuF+u+er5ZvZ3eX6ymPHLJ21M3w2fJZ55Ujg9JDwMW8bjFmM32yP+p2//iA/nQRjvZBct27Yzh7w4jrOw2kKhkE0WJicnsx2V1IChVCphN4f8yE0WfItHvCBS3It+9UEsUt5ND5xk6QhEu8WTJCbTHdML0BR1330FQUAwSpRLVV7+yhmeqwusrq7y5ofL/HhxJyOcRM4gEHo2URRQEMGORVpDhz9/e5WCIjBXy/NL+Txfe7FGTygQSdodOufDNNC2bTMYDOj1evR6PQaDwYEduyAI2N7eTp53ReHFF1/ka1/7GoVCgfX1dd59911+8pOf8OMf/zjbMToM6WMBmflDs9mkVCoRRRGmaWKaJoPBgM3NTW7cuJGRUL1ez6SmqWtVLpfLtOfpAm9atKePUSgUsiBJWU6krHEcZwS718mvXq9/qmHSD5ocHqQD01G418nuP3p+9r4e5wk+O7id4+JYI1f+InavzdYHr+FZbQTPJRqP2RRkfsSYf/SF01njJA1R73a7+7IABUFA13Wq1So9F66txLhFg8qkTsnQkBUFRU/UDaKWYxQqmJHMq+Miv1qfZ2HPaySdsLdaLdrtdubyuRduEBFFMYqiYlQb6MUJtEIZ6TZeSHEYt93JYwWi5iyRayFbXSZliy/NlbJmWLfbpdvtcvnyZZrNJidOnKBer+8ronZGDlG8y0l3+X0Iu89dFEMQRnzz0n7jieOeH4ZOgKGI/MNnZ6gX7+SrGxtdXrv6ETudLr41oq5F1Av7n6vUpXU4HKKqKvl8HsuyqFarTE1NZa6BN5fXWFpeYdTbPnQ/ynVd3n77bd5++20Ams0mFy9e5OLFi5kboqIku8f+bqZhLpcjn88TxzGDwSDjHEEQKBaLlEoltre3s527Wq2Wcd3jMo16EFzzqPglxYNUED3OeFI4PQQ8LFvGw4qxwLXxrDFWr4XVXqO/scq252E2CvzSuXrWvbMsC13XqdVqFIvF7JA7NzfHhQsXmJ2dzeQMt3dgSpveQ9WvftJFyrvpgdOxt+9HuwGjAB9bdu7F3u7NsycnmJ3IMTs7y/+7puIWfEp0yAsfa7cl1UACotAHx8L3PHZ6Lj+52WGulk+KFdNEAurVKrPVWRq5avbvD9NAG4aRFbcpbNtmNBplNvGHBRCndr2iKPL888/z0ksv8Ud/9Ef89etX+dd/8yqbH77HePUD4vBw6cRe8wdIMljSHBVIHKCCIMC2bXZ2drLw4UajQbFYRNM0TNNkZ2cH27YJw5BCoZBJJsrlMoZhZMWgqqr0ej1GoxFxHGfadV3XMyc/RVGYnJzMCrU0z+VR4kGTw4NoHNwNRxGoF0YMh2O0yKYqufyDfBmvpcGJF+/78Z7g7zcO4ri0oRF4LoHrImk6Sq6AWqiy1Rux2TO5vrSGIcfZ/Q3DoFAo0Gg0sly+VHYF8K/fbuEVNZpTBaYatQMdV4tAe/hxA3KhItNut2m1WnQ6nSPly9VqlTNnq0xYDXzJYOIYO8JHcdtRPDZb0Wm326ysrNBut7NpSxRFbG1tsbW1lfw8xWKW9VhSYkQBgijOgrEPQxwn9xElgUbxzkP2vTRzu5bP5tDhv/zqmTvud25mgnMzE9nHYRjS7/fpdDpsb2/T6/WQJCnboz11KsmXHA6HbGxssLOzQ6/XY7Pv0BPLqDMXKTfPEdl9vH4bd9CB+PCGa9pQe+WVV5idneXSpUtcuHAh26PWNA1ZljNX2EuXLhEEAYPBgMFgkBV0a2trWRZXpVJhfX0dRVGyRmBqdPRpqh0eBNc8Cn5J8agLtU8LTwqnh4CHYcuYEtVobHKyEDPc3MKzxziDTrKXMx4Q7tqDamKM6Qesbra5HPUp6snFYWZmhkqlQj6fp16vZ6Glxzl8Pir96v0uUt5ND6wrEgVNwg+jLBROEIQDf46DujerXYtr2w5hocnZ06eJfQer18bubxO4SRdTlBS0fJlaLmat3ePDmytcmYiYn0401YIgZBOdy5cvZ923ycnJrBi5G9Jiaq8LnW3bdLtder0e3W43myjuRRiGvL+0yd/dGhLWz7Fw4hmqpSJWZ4Pe8jW2b7zDYOPWkY89HA73SSCmpqayHYJUopd2dtMDUfr3ltqVe56XSSbCMERV1WwqlRZSqc18KikNgiDTraedy7W1JNyxXC7TaDSo1+uPTHLxMMjhkzYOjoOUQP+f15Z4e3GdXq/FyBoR2mMKEomT2ZkacxUp24F8gic4CAdxXBj4+PYY3x4TRwH2YIcoSGTFghdhCzlsUeeZ09Pkcjl0Xc9er3tdZVOVwzBU+L/WriAy5uQRrqtxHFPA4cbqGt/fvMLJ0fThlsuKQrPZzA7Gqqoy17X43uo73NwePzBuO4zHpqammJqawnVdNjY2WFtbo9/v77tP2vRaXl5me7mLv7KBJ+UgX8IolBG13IEFVOKul7innbhtX/JhZuykE5tarcb58+f3GU1tb2/jOA6KomT3Abi2ss0b338TVw9RRJOiLBKVCkS1SYgjrP4O4+1NPLN3ZIB82tj7q7/6K86dO8elS5c4ffp0xj+SlFzLTp48Sb2eNJGjKMqaj71ej06nQ6fTASCfz1Mul9na2srMulLZ+qdhMvGguOZR8EuKR1mofVp4Ujg9BDwoW0bf9+n3+/T7ff7izUWW3r2C7zj0dAnPHOKag/2p3UDou/jWmNh2CEtVGnMX+KVnz2RENTk5yfz8/D1Lnh53/epxCrtGUcN0w0SfHcfkFGlfgvZR3Zs7DgqaQWlqjtLUHJ41wuq1cQY7hL6PKAjkC3kiWcKSEhlaGiybHgwURcmKqKtXr5LL5bIiamJi4p4KAMMwmJ2dZXY2kVelHcD06/f7fRzH4dXFDj3TI6dKlDSJ0LXQChWmnvkys89/FeKYwcYt1j98j97NtwnMwaGPGccxm5ub2e5T+reVasZlWc52GVJr/NQFyTAMGo1Gpk13HIf19XVu3UoKN03TMoMKVVURBIFOp4Prupm2PQ31TSWlpVIpm3ilJJdaoj8MPCxyuN/GwWEIwzCbTqa3LyomCydcVnIRbmCgyXlOTSTyoZWuyXrfRhGhubDKqVohcyJ7gidIcRDHdZeu4FljojAEBPRiFUnRkVUN2U8O9aXGdCb9Ta+F5XKZYrF4R2f/jcubhzYgozDAGfZwRl3cYY8oDBBMl5EssdI19xVOpVIpuzZVq9U7eO/T4DZN01hYWGBhYQHTNFlbW6PVat3R9Do1kaeiwvqgSzju4rUFZFlCzhURVQNBVkGUCZEIBQkkhcmJMk9N7W/EHdXMvX2SdVgzN90/sywL27aJoiibEqbuu5AUpzMzM8zMzABJwy2dEnW7XeI45q1Nm7A4zWRlhqImYve2cce72VOuTa7aJFdt4rgezrCL7PSJnFHWuDsIN27c4MaNG4iiyFNPPcX8/DwLCwtUKhU2NjaYn5/npZdewjCMzDjC8zxc16Xf7zMYDLK1ho2NDSRJyhQ4aVMvLQBTjjluw/OT4EFyzYPml8OQFmo/W+rw/astRk5AUZf5lacm+eJC7aE//sPGk8LpIeB+nLd0USD2LJaXl7MD71676Y2NNnZvG88a0I/cfTnegiAQRSFx4KMYBcpTC+QlI8nWOTHN5OQkc3NzzM3NYRiHO3fdDY+zfvU45JfXZGaqOh/tWMRR8rzvmO6xujdHFcNqroiaKxLPnMYd97F7bYbuFlEc4UdknTbf9+n1eiwuLhKGYSYRKBQKWJbFrVu3uHXrVtYVnZqaotFoHLo4fBj2dgBTLG72GF75EVFeoqJ6xP5+eV/oJR8XGic4V5+l9fxvUJNsXsgPeO/NxOkoDA/v/DmOw/LyMsvLy0AiN2k2mzSbzaxIcl0Xz/OyfDBVVTPSrVarWW5UmtFimmYWvpwidfHzfT9bEk6Xgg3DoFgsZkQ3MTHBzMzMvolUoVDYZ/d/r8/tXjzKLt5xEEUR4/E4K5r7/X4mewzDMHvOfN+HIGBa8QmEgJWdIX/2zoC2FeHGIkgKsqrxN1f/FXO1PP/xr32J3/rKS4/853mCxxcHcZySK+JZY0RJotBMrv2CKKAYBWxfJl8s8dKXn+M3vnj2WA2N26+5gefiDDs4gw6eeedUXd5tQPohmZy32Wwei/M+TW7L5/NcuHCBCxcuEAQB/X4/23+S5R7np0r0HR/Hi4gB1w/wh30E+sQkBg6pqYWuitSMGu/9e4sP9uyLvnq9TfuDDeI4QjAUIE7+230OBTExSBIkCVGUsJwIV5Z5750xhX45y846Cmkm1t5ra2od3mg0OH36NGEY8va1j2j9uI0Txkzn1aTRWJsmX5sG4oRD+ztY/W3iaIBfqJGvNThf1/CsMe12O5P7HYQoijKLc4BKpZI5tb7zzjtcvHiRp556ijNnzqDrOpZlZRLDdDcrlfXt3flNZX3pLTVASrmlXq8/tCDex41r7oY0ouB25+c3l/tHOj//vOBJ4fQQcJzpRxj4+NYIezyktd6ioQYMpuZ5b/vjTlkcxwyHQ3Z2dli7sYLT2yGIIF8uIqsGgiQR+i4goBp5lFwRQdh1/jFd9FyRpy89yzd++fm7EtVxXpCPu371OOTnBxGGIqLJErWCShDFx+reHKcYFoSky6oXq5iFE0jukNmZPKqaHPjTgqjZbOL7PoPBgFarxeLiIrlcjmKxmDlMpVMYQRAyvXutVrvrNOqw3+Nix8HXykyczKPrMp5tEdoDJHdM7Ax3u8QJREFAxcUTVCbPf57/7htfJwxDFhcXeffdd3nllVcyl7zDkMpNbt68CSSFVGoFW6/XyeVyuK6bac+jKMqINw1yLhQKVKvV7NCfGk5ompYFXabFmOu6mWRxL9KCStd1crlcZrterVazm67r+4j+duI/7G3apX1UXby98DyPbrfL9vZ2JjXpdrt4npc5L6ZFUhAE+w6ZqdNUPp9ndRTxw/WQoV/AESJ0VUTefT1vDR36lkfnr69SmDzF1y88mpDiJ3j8cRDHqbkifm6EkiuiGHlUo4isGUQIdNtjJhsFvnj++DltOVUi9myGvW3YGuPbhxvbSIqKrFYoVuv8wte+wBc/nxQ2q12LKzc373rQfFy4TZblbJoByRmgMr/K//idn7G4uoVvjYh8l3D35SwAqigk5hECTJV0fuFM0jALgiBrOkmECHGIF4TE0Z07O3EUEUYe7Bq22qaLJktYfZ1e73gN4L2PdxA6ps+OK7LYD+mHKtUT56kUBDxrxLjfw/H8JANMKZKfLlM5cQ7fMdlc/Yhg1CWUBGZny9RqNSzLys5GOzs7R06i+v0+77zzDu+88w6QNDJPnz7NpUuXeOGFFzh9+jSnTp1ifn6eOI6zXS3btvE8L5OoDwaDfbI+TdMolUpsbm5SLBYzx9m0iKrVauTz+UO/r/vBp8E194qDnBulOMQTpAOdn38e8aRwegg4aPoRuDauOcAzh3jmMNuLGdgechgzN1XN5AXj8Zhut0un08lkSc8/fZ5Fv0LbitG0iDjwEAQBbWISUfz41yiIAlqpjlwuM3dykq+98NSRRHVYZ+CwTKjHWb96XPI7N1nkD75+lrONwrG7N/e642V6EWeaU/z2rz7HiaqRyRXSzlaaK1Gv1zPNda/XY3l5Gc/zMmegYrFIt9ul1Wohy3I2TWo0GkxOTmYX5rv9Hv0wojV0cfyQnuUnO15UkI0qubJERfKQvCHueIBvjbLubRrSK0lS1hX93d/9XWzb5qdvvscrr/6Ey2/+FMc+2vY8LaRSOV5KMHsLQt/36fRH9C0HBBHDyDFdr1Ay1GzBOw1D9H0fz/MIw5AgCJAkKXNVSouFKEoyTcbjcVbkpOGIafGjqiqVSoVarZYVUpVKhVwuh2EYRy4G7y2u9hZUR90Oey2mP09aCO59P3UeS6V2g8GA8Xh8qJUvwMD22R45+GFMPmewMDXBieYE+Xw+CzZe7pj8+IMVdqyInCoxndezzrUgiiDKjH3YGIf3FJnwBH//cRDHpfKq29EZOseWt8VxTK/XY2tri/7iRzgrl+kOHbSyvs8qHBK7cL00gVaaQNLyDNpjGo0Cz56cuGdeg8eT2wRB4OWnTvHf/mP940zA4QjBt8B3CcMA33XJyVDVBX7r2UnOTub3RVZAIvkzFImB7e+bUB2EKI5x/IiKoWYS3vR7SWW7hpEoWhzHwbbtzPznICx3TF5d7LDcMbH9ENP1GbshAgJ9RUQQREJBIQgjosCFMEBWVHRFpmwYlE+cQxAELp3UaZDwqGmaWXSGZVmMRiM6nQ6tVgvbtg/8PlKkxc/rr7/Ov/yX/5LZ2VkuXLjAc889x4svvki+PkMvKuGrVSTZp1FuMh2Y+L6fWZ0Ph0NGoxHb29uZo62u65m0L7XCNwxjXyH190XyvLdBqwghp6sqdUPknaUW//P3rrC6PcAQAkpKDKFPGIZMX/oycUm/rxiexw1PCqeHhNunH/JgA7u7mf3/KI4ZOT6WFzJZ0nnpRIGdnZ0sIb1arTI7O5sd3MIw5MTymN6ogxVoVEsT+x5PVnXy9SmM6iQdK6QUxnclqnvNhErxaYyNj/tY90p+x/1+P6kOPtXynzt3jiAIsq5WSgLp/4ckwyKVCOx1W0o11umtUCgwNTXFZpDn31wbs+MrWF54x+9xqWNiOgH+rjNTGgIcxTG2H+GFEZYsMVuZoTE1RxQGeJvbSL5Js1GlZ/vcag9xgwhNFpEEkQ82hywPigQXfpWnP/87BGYfd2sRc+ldNhcvHynrA7KJWurYB6DlC4hqLrlpBrJmsLjZo16tcG6mwlS1iK7rWfGUBl2mBclwOMxs29MOoWmambQvta6NoiibWAHZ9EwUxcxpMv3apVJpn7ufpmmZ81e6h5Xe0uItdbdKHyOVyqW7BKIo7nsLSWEqyzJRFGVTo70F1HHRcyJudHy2HQFPyCMoOrIls7guciaAX7lU4fTUBJqm8b3lFZzCDM0JhWalsBtwuXsTPy4Y9zqW/TyS3BM8HDwoeVsURWxvb2fXOs9LTI7yUpKf17c8Ro5PJaehFsoY5Rp6aQJJ+Vid0d5TnC22x/fFa/BouO1+vvZ+XtMzXhOFpBi8ndfiOCYIAsIw3J1GCSzpH/C317ZRZYFmyYDdz8dxTByFxFFIFAa0+xaNWsDLZ6r8+lfPZ3LqvW6HByG9XqXXWt/3+bvLa/zbD6+wteNgWUlWVoogihi7yTVYwE8iQwSRSFSwLRM3Dhn1QzRVpVQoouVLYNQoFGaRhz3q/hA58rEsixsrm/RCFUMsITkWoWPhOWNC6/BJVPo8ra2tsba2xve//31EWSVXmyI3uUBuaoHi5BzVWoMLp5p846kp5ppNbNvGNE3CMMwKqdSpL93lgoSv00KqWCyiKAq5XG7fjpSu3z3a5dPA7WoOx3FwXZf3l7f5y3dXuLHRY2RZBJ6HKIAui5ysaAxMm6XWAJEAZIFhGBCHAVEYUD/7LFq+dM8xPI8jnhRODwm3Tz9atkhsusi7+UFOEFMoljh9osY//dVnmRIGd7jrpEgPXl+/dIItK6I1dBjYHkVdwShVKdRn0IpVophj67AfREDvoxgb30/n8GGR34M6KKT5SJOTk0BSRKSabcuyME2TXC6xQPc8L7so73W1S/GTty/zyvUd+naAoWuUK2V8owBGAVnPYcQy60MfP0407KIoomgKiMlekCiI+DGYscCKayLUihiajCMaTE/WWVfL/Hh7THeo4gx7jHrbjAYDQAAB8pqEbA0JYgG/cZHGU1/lbKWM0lvho/dfZ+vDNxmtL0J8d7mHa47BHO/7XA/YEGWu6gaVUpGJcjFzPqpWq5m1fhrKOzU1xdmzZykUCqiqiuM4+/TqOzs7jEYjTNPEsixc180KqL0FVdrFbLfb+6ZUiqJkRU5aOKU7VmkhlH58FNKDTXrASCdnexe10wNP+vXSiWP6+Kn0MM3Jankq7yyNGSgSriyRz+moqkIoKPT9mKu2TOdDl/+8rrOQz/PRKMaJRKYLOlEYJnLN1Gxmd5oVE1NUDFZc8dguW0/w2cAnkbcFQZAFa7fb7UMbLV+5MMl2aNAODcRanWo5f+Q19/MnKg8keP5hcNv9cNle3AuvpSY6e3c4f/dLC1xrWyztmAhjL+EvYfc6I8mEgkTPjrFFg4XZPL//jWeYvYdDbTpV3/vz/rulkH7+JM3aAlVDInTGmOMxNzc62JZJ5NnEoY9A8lyIggCigCIXCKOYIAwxXZtgp8VfvLJBJEqIio6s6RTzBaYLIpqgsha7BJNl5IKFZHXwhx3kwCMMIuLAJXAtImdMaI+O/BmiwGPcWmHcWoH3fgiAqOd5vVTnu/VpvvjsBb74zNksUzCdvOVyOU6dOkUQBBlPj8djWq0WrVYLOLiQSh2O04mUph3sBvlJEYbhgQ25vcXR3s+lio29u7HvrezwN1c26I9sHD9AFSLEOMQPfDzPZ0UAL4gAgXpRxd4z1RQEgcCxk+KXe3dufNwgHCX3eII7IQjCmy+88MILb7755rHuf3l9wHfeWuOdW202PrqOZBTQciUmqlWePVXNukQbGxukXzN1IEsdx/bivbU+f3mlhalUCHMNyuXiHUQ1Xdbvqh/9k+9e4W+utlAl4cjpSXvo4IUx33h6kj/+rWeO9TM/KBw2EbvXn/Xn8XvyfT+Ta6YyrTiOcV03c0kbDAb84FqbpZ0xkiiQ0+7sgwysABcJZBVBUhAUA1nTUG8Ld0xyQqCgyWiKgOmFyJKEoqg4IeQ0hRjoOxG+54JrInpjSnJITlNAEIgR6Fs+Yy9C0nRULUepVEBVFMadLQZrN7HXrzFe/5A48O/4Xu8XacBiSkiVSiUzh5ienkYpVLDFHLGkoCsSNTVGiZOCNE2y7/V6WTGVEsXdpmaSJO3be0r3s9JrajotTgkoDEMs12dke/hhiCRAXpXRFCkrzm6/pYXSXiONVCojy8nve2D73GyPuLIxxPRCdFmkaKiIkpQsfIsiCCK2D04EjVKOZ2YrvLk6JIhhomggiMlSuCCKcFvUZqExwzg3jaFI/DffOH9HsOZBePHFF3nrrbfeiuP4SRjUQ8a9ctKDRspxeyf8B01CgiBga2srK5YOy1fSNC2z7a7X6/zw+s6xr7k//HD7seS1x4XLHuX3cdQZ4721pPATAKKA0LORAgc5sAjtMZGXNHCcICSKE+MPTRZRIhecEY45wvN8JEUmFFVEScGQIrTYQ5JlZD2Hb43ptjYYDnoEjgVRiCzEEHj4zhjP7IN3tOHFURBFkUajwdTUFM1mk0qlQqlUQjaK2GhohTKqBI28jCHFmRV6ilwut6+QkmWZYrGYFVLVahVRFDPuSJtr6du9O6x7P17vjLnR6mPaHhIBM0WVii7e8W/T297i6PbPp5LvrulxvTXC9iJ0RcRQpazBJ4oSiBJDN8YMBSRZYbpaxNAVRClRMAiiRP3M59AKHxfi6337njjlk+JBctKTidNDxsddogWubFw8tEuUTiDSnYzR6M7OSC6X4/d+/Rm+9Rslvvt+67512A8z0+FB4UFMxB4k9nb5vvHUJDfaY5Z2zIemg98b9ApJh3Y0GmUdo/F4zAe31vje2o+Jxy3ykk98W95FGEZ4QUgY+ciBS7C7UewL4MmJc5qoGoiqhqjoeJHI2A1wAgHimCgCTfKYNBREwac9dIjcEAkQZJlIKmPFAUrkEDtDPNdjbPkEYUQggKhKRGMVh+RCU6uWcCsvU7r4MvnI5GzO5d1ri7TWVwjGBzskHQdpB+0wl6UUgqojazm0fJFqtca5U1OcPjnDyZMneeaZZzAMA1VVsW17n5X7eDzOunB7J0RpgRQEQbZEHEVRNh1SVRVJktB1HTcSaZshQzskCAUQVARJou/LTGgG840CE3ktM8iQdx2x0qLpoAlWe+RwdWNEe+TQs3y8IEQQwPEhij3yV5leVAAAIABJREFUqoQsf7ysLQOiG9A2e3iDbSwn2XUbjPbTgCiKyURSEJOCShJRCjMHRiY8wRMcNQmZKWu0Wi1ef/36kcVSPp9namqK6enpO7Jyjiu/LhsK/9vfLj52vPYouexu06hHtcd11BnD8UP29eslGVEvIgolNFVCFCAMPOzREMkcIbhjBN+iWdBQlRxQJY5jPHvM2mZiYy4SU8irIIv4joVrjfA9HxcVuTyFWAoR4xgl8lAjmyhI5GO2NcYe9Ykck8gxjwzevR1RFO2bKN0BQULWc8iqhpHLMVWrUqsUM8l3OqFLG2zpTlQqRU+NjdL8wlTWlzbi9jbkwjBkvWvyzmqPzZ6J4wdEQYhAlERLFHWeminSPCAY+SBsj1w+3LbYHgd4kcDYj/HFImJBRjJ09LyBoe0WRbuGZLIfE1kxSApRqcBEo4gka4iKmpi3aPvdLQ+L4fl5wJPC6RHhqNG/67osLy/T7/dxXZftkctK18x2Sp4/N8eXn3uKZrOZEcrz8/X7lqI9jIDeB417STl/mFrZo+QVc7UcFyaL1IvaQ9/xkmWZarW673MfBWUqn1NQz/tMl1R828QzB7jmkMA26Q0GyL0RYhQhEyEEIXEcIRITRxFBFCE4NtgWcRwRAaKsgq6hKCqGoVPSConpQhjh+BFRHKNKiYQsiCBEwdMMmo1JNtodCLvgjiFMjCW8IEKVdw/9cYRGRBgEWJFAR6pSWHiOYPIZSmpM4Jj41njXQGWAM+7hDI8OQLwXxJ6D7zn4oy7jrWVWr8LfHnA/VVX3ue6VSiVyuRySJGWy2b3uUWkhtZfI9qLVG7E59PARiUUVVdOQNQPRKBCIOuNCgQ2jwuefneO5ucRNa+8u1979qXQn4bUbLX7wxhIdw8LGQdA9ZN9D2N1T8IGRCGVVxlB395XiGCUXszN2cUQJKWcQxhGavjt9zC4Fu++kkkFJwY+Sw1VOPdws4wk+20g5Looi2u0260tXeb/V2vd62Mtt1XKZL186y/MXF+6ah3Mcmdr3jsh9uh2PktceBZfdiwzwUexxHXXGSA/Ksphcy9JSOjEjChEFgTCSEHIVVKOCKIAiieTzkBccfGuM75gEMSgViTBfB9/CDW3E2MGLReJYwEIkkgUE30MKXDxrRBhHKHkDWVeIowhBVom0ElEYoUgg+xbuuIdvjwlchyjw7v9JiEMCe0Rgj3AG0Nu804l2rwQ8VS6k+7WpJD3dr00LqVRxoOt6dh78aMfkjeUuYyfAD2MUWUASBMI4xgxiTD+iYwe8fG6S81PlTGqevt37/rWWxXs7LfpKGbcsoKkqciAgCDKiJBOpGpaqUpkoUi3mEBUNSVbo2QFu10oMpVQZrVZAUw6XrP88c8qTwulTROoytra2RhRF+91nghi1VCdfn+LyLZW33R3+8Yv6vgvq/eqwH1RA78PC4zIR+//Ze/MgSc7zPvP58qjMurr6PqbnwABD3CAFgCIh0iIJSZAormnRJGRLITtCsbterRSxIXMPa03R0jrWYYYkO7BhOSiTshy78nIlrUiJlrQiJFIiCV2kCIIgMSSAwcwAM9PX9FHVdWTlnd/+kVU11fdV1ZU9k09EYwY93dVfV1Z9v3zf731/737MM66XmwOz1Wxfx4ymomo6anEYszjc+Xet7uKu1YlcGzVycZsNItciT+xG5/gRYVfqT0rQFMhmNLwwYrioE4UhqqriqwYib2JoJqaZRbTmg9iuD5ogyKoE0QiZ4RA9DJC+S+Q72JFDFNgYYRONACTksyprlsdyIyCSkMloZEydjJmD4Qlu3bjHiwpcm8CxqdVrSM9mygyQToO1tTVWV1f3LKk7KJ7n7Z5J3ETbhnazs56u6/hSsGqFeMRlfYYGqipRIhdhB+iqhmtXuLG2yGdWFmg+fg93z8TmDW0DjO6sJMCNis3vf+MmK67K0NgUpYzJig1oGcxsFlQdPwgIfB9FkUwM6Ziq7DTpausNFBlBFFK1bEpFHWSIDOOgazNGaYJlJ2CqaPLQqZPXyJtyvLz88ssd98w2bW1bsCDIDqMXRsnIHH/7fIOHF6/ve67LbpqXRF07Di07rMlTP3uUd7sWYSSRSDRFoCoKfhjhR/FcKYjHYahanKxDxl8nBIhMlnxxGFq+WErDpbxURnEsgmad0G9iuRZBsxYHLKFFhIqayaKaOZT8KDL0UYSHKmPTAl8KcEOiyCeIJLqmkx2ZJDsyiQwjwsAlcG1k4McJKc+Ng6nA2/H09CC0TRj2MgBqVyK0T6DaMyAnJibQ8sO8VFFo6sMUigbFrIGitSoGVBUpFCxfYIeCy+R5z/33cv+pkQ1ur23durzq8FuLl3Gnp5jKGYwXTaq2z42yHSdNtfh6hZFkNVIpaHnyrcAnHtmiABF+GGF5AcamloDu10DjBGtKGjgdM1JKVlZWuHr1asfGEuLepT9+aZGqB1F+gpEzp1BUjaofsbRY4/VVixeulfnwD9535Jv0wwzoPc7MQBJOxJJWKrgde11HVREoqg5ZjYxWQubHUYRgdsRkSAtp1GvUazW8VkDVdOKZYACmrqCqGqiAhMBuElgeSHDUuJlYMXIILYun5FgOTMRQCV3Ejn1tERStbKGqCqbzKgUtJPBszNUqnm0T+g565DFk7D3bJWfHNu3ve2SGd9wTn8y0jRwajUbHVe9Pvn6F1+eX8BtlQquMWyvHNe59ol0qeBAULS5fULQMiqYjhUpD0fjUK3/DXVMjG3q22kYY7czj518ts7BioxsZdJGnvi5xLD++TnG3N4puECoZQi3Dslfg7NQIejaPmjEpZSdQFMFMKcvrqxZKVw9C22ErCoNOIFV2IvLq/uykU1JmZmY2BE6XKwF/cg2qxl04GZ2CqRFKyZrlMVexe6ZtSdS1fmtZUnVqt2uhKgKBIGoZQqiKCn4ICEbzOkNZHS+Ix2dEncSe2PL8RZLYfVUzIdd2GZaYkU/gWHi2RWBViOqrRI0y0rcRmo5uZMm2+oEVN8DP+2hBhCIiTC1Cj3yiwENGUfwhQ6LAJ/Q9HMdGRhEzpSzjRRPHcbh+c51as4n0HYgiosBrDZTvnX9Au+/IsixWV1d3/DotW8AsDpMdniI7Mkl+eByjNEa+NIaaKVBTCly0CvzE449vKIdt82tf/TYrjqCUNzua0A50Ba25YaqCR1xNslJ3yRvx69TUVQqGiuOHhFISRjv//ts5D58k0sDpmAjDkLm5Oa5evUqjsdE57Nqaxecv16kXzjAxPknW0ClbHtVm0HnR1hyf6qLPz336W3zkfQ/wgUdnD72Wg84kOu7MQBIyh0kpFdyN9nVcqjoYmoKU8bpiwwGlI15+q8QujCQZXaFg6Oi6wYiZY2RiGoiv86X5NQqKj283kZ6FrgZxtk1KlNa1aG+FMgwImzW8cJ0okvHnhYKSyaJmCwgjj2rkMXJ5EOAGEUtNwV1jBfKFEiVtuHW9BLommCnq8cmS6xB6dvx3zyX0bMLWTJIgkhiagqHdCrIURenYhU9PT7O0bqEsZjDN00zoEEVx6YcuQ6TfxLeb+I6FZzfwmg3q1XUUzyKLg91sYtt2TzKJexEF3rZlIPYqLF/b/nsURSFjGIToRJqOaWZZNLJEqk6gGIhMFt3Mo5p5VLOAki0Q6XlkvYDZXEJX4+etbAdks1m++5Gz3LSaLFoRXj3P+MgQGTMbuy+qGmEkqTRcrCjg/Ki5q0tnSkqbttvl6OgoVVHgN794nVU1vrEf0VXKlkfDDXuubUnUtX5rWVJ1ajSfaQVtHoamUDT0TtlWty5JKUEIIglZXWGmlMXQFVbqLi1V6ehWPrPxdlVVBFK2jI1o3dRrCoaWwzNMRH6EzNjpePRGJIncBqKxSokaulMj8F0CzUOVNkIN4n4gXZA1VIRomx9Esb5JCTKiZnuooc+5cZ1hPaJmOSwGecxiQDFnIhCtoCF2l0NKRBQQ+Q6+bdG0LJTQQYs8rHpt11l8hyGwGzTsBo3luR2/5hvAMz+ZYXJykqmpqc6fZnGEv5r3qZLj7Ow0ldIo5tAoQuQ6gW4bXVWwvRDLDXD9qHNtJ4oG5abfeX+N5jOHch5OOmngdEw8//zzHX//NkIIpqen+cuaRzA5ybgq0DWFG2Ubr3UcGmdn4uNrP4pYszw+9rmXKeX0Q2fnjjqTqN+0N9aGE1K2vM7z0A4INtPrzGFSSgX3omr7WF6A40dcW2t2MnmaIsgbGhNFg4Khxv1JQRQ/h8b2z+Faw6VYyPOmqQLzFRvbD5kczhJFIYHTJFuvU19YxbbqENgde/F20BSfMkVEroX0mrGtNgKZ0dDMPFEmh5XJs8QI95wai69ZRkURgrLlIYdMMrkimdzWXofAd3GtBqtzNxnJSu6dGcN1nY7ta/f8kOdfX+WNa+v4YYTdda+iIMhoCvmMilEcxmiVNGbcACNj8J4HZnhwNu4haxtxrK+vs7a2RrVapV6v02w2O3bx7b83m/07ydpMFEU4tg3EjlPW7s66G5jLmGgZEzVjIjWTXKHA37wyg8hkadQi1kSGy6qJmcth5ocQ+RL66TczNDS0rZ10SspOCCF4xzveAcTOau0b+35rW5J0rd0/9K25dewDJPQOomVJ1KnuXqu1hocXxNpkampHk/KG2tElP5Qg5BZtamtZEO2sW7mMSiRl53Y+djKPv6a7XVMIgVBAMYvo+SHOn4rd7lyrSm1tBe/6PI7joCkKpWKGfEYgw7A12yqKT9+jkMD3qUmLoglvfmCSsWKWi9dX0awbmFYdZEjTDwmCiEhGoCgIoaGqGYziJGOFPIUwnqP49vOj3DNRoNlsbpgD1R4U3/5o61uv8TyvM79qOzZ3Ywkjh5otouVKaLkh1FwJYQ6hFUpEE5OMjo1hDo2g5UdRA9AUDRkKXltcp5DNkNHUPUcUnCTSwOmYOHPmTCdw0jSNs2fPcv78edYcuPK1F7HcgKGSyY2yjROEqEKQ1ZUNx6m6Kmh6IWsNj2c+f+lIx+69mknUD3RVYb3ps2Z5lC2vNTJoY0CQN9TOOnudOUxCqeBetOva1xoeYXvgKqAg8UPwWjXGI7l4jkcYSVRVMJbfWHO8+Tq/96FpPvnc1Y2ZwlyR0VyRmlqi0vQRgCY9fNvCb8Rlfnro4Dl2LGKtLJqiCISMCO060q7jBRHLywrazQKrvsLZiWHOTpaorK9zrSoZyaqteUIBUeh3enJkJKnaHiKUTJdGKGYkYDAxMcH4+Hhn/sSLbyxzqbFOqOdA+BAFsUuShEBGRL7EiyTDOZNczkTRdEIDVN2gMDLJ2bMzZDKZDe+59hylthV8o9HouF42Go2Oy2F3INX+mF9ZZ2G1Sug7EHoEnkvkb3/S1G8iz8Hrst51luHLVy/u+X2qnmF4eJh//Vd/CRx/H1/KyaX7xv64tG3QurbZpMHxQ8pNDz+MT/wnh8yOdm3moFqWNJ3a3Gtl6Aq2Lzr9Lm4QYnkBs8NZJooGDTfoBJXZjMpE8dYMI1NTCKOIIJKoSnyS1H2ysR2iq5xPFXFQHrdObT3VEYqCWRzBLI5Qz51iea2MaK5TMBxE6IGyzWgP26NkjPCWsyM88ZYpGo0GVyo+eq5GpOXw/IDIc8FzUGSEUBVAIZISJ4jw6zbZfB69OML0XW/isftmOlrS7Y632WjIcZxOUNUe6N4OquaX16isVwldO9a7PiHdJoHbJFjf2ve7pXBQCDLZAtl8AZnJoxg5VDPP2L2P88gP/njPnBsHSRo4HRMzMzOMjY0xPT3NmTNnOoPpnrt6ywmobHl4YYQqxC0nsi4UIdDV+I04X7GPdOx+lOGF/eSLryzzH758haYXDwMNItDUuHzB9qNOQDA7nGU4p/clc5iEUsHd2FzXXsrmWao6nUyuorTcdFrClDdUdFVg6ioLVZuCu/U6TxYNSlmd331+bsdM4UTRwHJDnCAEkSE0NTKZEooQ5A2VpuPiNRuETgO8JlrQhDAus2tnlkMpWWs00RXBlJbh8ZEsl15b5WbNwcmoFE09HoLYIpKSuuPT9EKmhkzecc/YhudCCIFhGCw1Av563sfPjmNkNZSMiWkYCEVFogCSoG3jSkg+K9AJcGsWhqYyPDy0YfjgZmfLs6N5JooGw8PDDA/Hp1VSys6g3M0nUVEUMVK28eZqhFKhmOsKWKOI0HfjQCrwOplNy3YRUcDpIRUTv5N1bPdvdTv5HReh77G2skwud/Lq0FMGS/eN/XFp2yB1bSeTBk0ReEF8otb0w452beagWpYkndqp16rS9FioOLhhFI+pcANeX7U6v7+qKK3jIcG67WG58QzB9WZs1iCAIIz344rlbUicNr2wpRXthtqOESiKEgdRUWs+IbRPpMQW04KMpmDkhlAKQ2RKJkNqgG+t49sNfLuB5zrUbW+DBrXNe06fFWSXVWzLRXGbGIEDnk3QrBK5TSK3ETvWSkkAeDUFv7zIxXARb26c06dPc/fddzM6OkrFjbi+ZmM1myih39Ec2NmC/MXrazz70iKO41BQAzyrhtuoxklNu45r1fCbDQLXJgw8At+DwKeX/VdbkBKvWcdrbiyJmDYjnvmHv3Qie5o2kwZOx0R3+UI37c0PKTt139ndsioi7te3/fDIx+7HNdNhv3RvvqVsvLG6QQQSMqqIZzSEEY4fMldpUncyuEHY88xhEpuMu9murt1s1YW3X0OKgLiDSDA7nOW/e9c9fHNufdvrPJzTWaw6vLJU3zNTeGrEZL5i4/gRQfvpafUwSaGi5kqouRK6Gg8slKFP6DQIHYvIqhE4Fq4fMTGa5R33jHFuLM/7Hpnhj19apGJ5LFYdTF1BUwRBJHH8CDOjMTNa5O8/fo7H3jS9wXGu/edf/9nryNOjnDmnUmkGOH6IuSmrDfFJnJQQ5TJMjmapLlY5W9L4ez9wgREDvvXGMv/fN65xaX6VutUk8DwURZDVVc6N5XnnhXjNEL+n8/k8+Xx+w8+IogjHcZieX+ZS/WVW1ip4toWQsuUUCEiJ2pqlJVQNFBW3GTCc03n3wzOY2SxVX0HoBkOFAhdOjTFsKryxuMp/fu4VlivrmJHDermMbzfiOSS+Teg5yMBrfbhI3+2JnftmK/yUlL0YlLYNQtd2M2nIGxqvr1rYXkjTDZirNNHVwoaqicOcgiVJp3bqtRrJZciot7TJDeLXgRtE3D89xMxw3Be0sG5Tc3zqjk/V9jv9uhCXg/thhBfIDYlTP4wDEiFAARQBthfGZX6is80C8WtLE/HXtE0L2s+7G0ScG8uR0RSqts+1pqRgjqGb4wQlidX0yCkB5wzJP3x0kkemYlMIx3G4MB3hhdeJJKhmHl2NS82llMjAJXRtwkYFv1HGa9aQYYjvu5giZHV1ldXVVb78N19jsR7SiDSiTA7VLKAZWfK5LOcmSrz9rhGmhzJ4nkcQBBvsw++ZGaN4rUlTyVEYzqK0xlWEvktgW/huExkGIARhELBctcgqkvsmc+jSQQs9IreJ67pUGzYvz63QbNoQeEjfiQcRB7s7/u2Xc9Njt0XQBGngNHDam1/T76r73sbtpI2UcR1vLqPueey+nzkNxzHTYb9s3nwLrWyVF0bYftSpiZeyPQvC54GZYs8zh0lsMm6zU1173tDIGxqOH966YSHO1OUyGo+fG+EDj85uuc6aovCJ565ws+bsO1MohMDUFYJQErR+jiIEuYyGpgjc1slXfM00hDmMMIfRijNkhOBMSeVn332Wx2cLOI7Dgw8qvPVRiz/5zjKXlm0agQQltlgfzmd589nRXW90bpSbvFYJsAO4MJrFD5ud+vmMtvHadTe1LlUdCjmDx940xWP3n+eLryzzf78asuiPY5WGKUxpaEhcz6Feb3I5DKlcg6dHCjw8lcW2bWzb3mKHrigKuVyOh950F4+UFb55o4KqQFEXBJ5N6DoEnkPg2AS+QxQGNBsWIpJkTIO//s41ypaHG4RIoaAqKqaRYXZylLffO8u5qVEcrYAjNXLjcSymqfHvGYYhfstgI/TjwCnybJTQpaBJHpvNY4gQ13U7JY62bXdOysIw7HyuXq8TBAGqqpLNbhxemJKyF/3Qtv3q1HHr2m4mDXlDY3Yky0LFwW7tz6+vWkwWM0c6BUuKTu3Va9WtTXUnYLHqMJbP8M/eex9vOz/WeYzPvbTIb3/tBg01ZLigM10yqTl+5x4gjOLfo+kGXF21UGLvBXRV4VTJxPEjLDdoaZJEUxQ0IQnkrUBJhvHz4IXRlud9orBDsD01tGOwfaPcpPRyFq9aR5Mhumw58gUeMvSJAh85dgoZ+DjNBl5tDd1dxzQzCBlws2rz2nIjdqJrldNremz0U1FNluc0Lr2W490Pn+XRu6c78848z6PRaNBsNslaCwQ3qyysqRSzZux4q6oIRUPLmKCoOI7DatMjiAR2GPDyYhWFCA3JSDbH/WdP812jRVa/sUjZiVDNHGa2gNCzqEY2NrEIfTzHwq+X8RrrhM0q2DW00I57m91mnBh17G1fJ7Ozhzc0Sxpp4DRg2pvfXMXuWD7uhOSWw0xWV3c8dj/IMLw23TMd2mLztTfKPRObvQRsu813c7aq7cKkqwIvjIX5p951T89nKCWpyXgze9W1m7qKqd/KKHphtOEmZPPsju7m7f1mCu+bKvLI6RL3Txf55HNXWaw6nBo2O85JlhtsuWYK8QnNaD7Dz7//EX7gwakN677nHvihJ/Z/Y7Tbc9JdUugFEbp664YtLhkEJwhZt+H+6SIfeuz0Hra+OcLxEdYaLqtOwJ8sGjzx1gd4ovUe8n2/E0TZto3jOJ2/f/8jkhsVm6VqEyFUirkhjPyt917ge6zXGyiWRY4QJ3Sp2A6+NNANgSolQRRSaTjUrTmuLyxy93gBf9livekj1AyGmSUysihmHtXIYeTy+EYWVcY3D0MZlYbdZCILjz88jkHQKSfcDSklQRAwMzOz6w1vSsp29FLbDqNpvWS3fWk/Jg3t/XS55rJqeXHZcARZXT30KVhSdGq/vVZtbfLCOAlatm71ep4ZzbHQKjefKGQ6v8t29wBBFDvdFbN668QtZKIY97K5fnwi1W0oFURR53nXWiXrhr796eNBg+1vL1TJGhoZMxefMgnRGRDfRkqJH0rUKCQfhUxmBR9411mwVvk/fvdLhO51soGNFrlxoBWFSK+BlA0CRWO5afJnLzgEzSqTxXjobTabJZ/PMzIywnvfMcpnv7nEUqWBJ3yyIiIK3LjKIwyxvZCa7RNFccWDpikQBXiBT911qdUCllbXOFXUqN1cx/UlQs3g6fHIDM3Mo+aH0fIlMoVhjMnzSHMIJVdiZqTIf//uu3nibJHxnILjOFSrVebn57l58yZLS0usrKywurrKhz70oV683BJBGjgNmPbm9/qqRc3xN/R3bMYPbznMINpZ/o3H7ocdhgf9Eaf9PuZOm+92JymqIqg7PkVTJ+iTdfSgm4x3opd17b3IFL68WOcLL98kimSncXe7a9ZwfIQQ/PAjM1uCpm4OM5Rx83OSNzROjZjbn1YS29cqQjBRMDoZ3p0CyDa72fq2SyeGhoa2fN87gLvffJN//4WXWVirUbWaZNUQJfTxPIeGa2MUDCaLw4RRRN3xGZ6ArAiJ/LjUI/AcAt+NT8qCiBsNydT4MNWbdaJI4nkOwnOgvoaMJELLoBo59Gye0eESQ0UDVEGoqUT5cR48N4qUEsdxNvRmWZa14fRMCIGu69x1110Huh4pKdA7bTuMpvVKy/bzOHOV5r4Ch7yhcX5CQ1EABE/eP8ETd48dKTGZBJ3qhSbtpkWb9cQP40Do1LDJfdNDfOXqWidwNHRly9BVA4W8ESBEhgdODfH+N5/aNSA6iAY1vRBdVRjN6VhuuK3etF8zWV0nb5jkTI1saZxv1XWMB7+P+x4MGZIWdnWVZvkmvtNsfVgEjo3luNQaFt9ZqHLXo6Nks1miKMK27U7v6wW1Rt2zsCINS+jkciX0QhY/CLEaTRTdRY18hjOSjIjnUkGrT9f2sO0mc5aHyOQxcPF9l8Cp4QVBp28MRQFFQzXy6LkiRmGIytRp3hj6Lh7MPIA2Okomk2F0dJSpqanOYF1d11GUvec0niTSwCkBPP34aV64Vqa66ONHcYa8W2QkdKY1m7rKWD7DQtXecux+lGF4Rwm4duIgj7nX5rv5JCVo1Tf3y5AhqeYZvaxr70WmcDfhNnUVXVVYa7iEEs6P5foi3Ns9JzudVioItNbz8WPffYYn75vsu63v9z0wxeSQuaUMRBGCe0ydR06XWKk7vPD6CoXIZ9QUhH7swBf4LqEXT6/3rCrl9Wp8ohVG5HQ17i2TtGZsqLHtLpJMaJP3PIJylfV1FU9qhEaWciWLf6pILpfDNE3Gx8dRVbXz0XYItCyL9fV11tfXGR8fP+olSrlDOaq2HUbTVupuT7Rsv/r1XWeGDxQ4ZHUVRRG8+fQw73145tDPLSRDp3qhSfvRou57gKBV/XDvZIFra9a+A8f/6an7evoctH93XVO4q2hsqze6rlAwYtfAdTtOIDS9oKM5FyYLqEqB3OgUw2fuxVlfpbm+gmfVkDKi5NgsrFWpRRHlhkPedRkZGWFycpKhoSGEEDwaRTy2XOWvX1vmjeUaTdcjaFZxfImCilEoMjlcIGvoCKEQ+i6h7xH6LjnfpVq3sJo2IvApigAl9LGsJp7TJOwqPSTwEdE6wqthV+Zw51/h9+df4KUvjTM2NtaZCzU5OYlp3kpAaprGE088cdv0yqaBUwJ4eLbEh5+6j5/7zLdi551WFkO0anjbGQtTV5kdzmL7wbbH7ocdhteP6eMHfcynHphKTKNrm6SZZ0Bv69p7kSlMgnDv9Jzs1vd1YaLADz8S37Qch63vbj0XAB/+nRexQ4ULk2M7rkFKyYzncXmxQkGXZBwLt17BDC0a6xXcRpXIt9EVgareyvBFUYjrOOhek5U5yTe8NQzDoFAokM+4pe+NAAAgAElEQVTnKRQK5HK5DVnBbDbLBz/4wdsuU5hyvBxV237jgCfBn3juCktV58hadhD9KlseQSg3DAjdjV5r16B1qheadFgtGi8aA9Wf7t99esjkrvH8luqYXCYO+MJI0qjESQEQ22qOqunkx2fIj88QeC72+gr2+grFSEPRVPIzp3jL7FCnJ7VarZLNZslms1yYHuHC9EjHEXat4fHcpRWqts/sSMs4IooQqiBTKKHqBqqmo2YMpoTG5eUGfuBRkC5jmQDPbtCs1Wisr+DUKoRuE+E7rd4tj8B1QUZ4jsXSUsDS0hKXLl3qGDaNjo4yPj7O+Pg4pVKJxx57rKfP/SBJA6eE8OT9k3zkfQ/wsc+9zFrDI5ISlbhZNqMr5A2NsXwG2w+2PXY/Sta8H9PHD/qYl5briWh03UySzDOgt3XtvTq9GrRw7/WcdGcql2sOQ1l9w3NynLa+25WBPHtxcV+BmxCCjGFQGi6hKQJjaBQ/P8XZrpu6wHNx62WcWhmnXsGtr+O7NtXQImcqnBqNm4td18V1XdbW1jqP3Q6iCoUCo6OjadCU0hMOq22H0bSvXi2jCHFkLTuIflluQCRvnZwNQrsGqVO90KSjaNEg9We7331zdUyb7t89l1H31BwtY1CcPE1x8jTBSAW/vorQDDRNY2hoaENpeNuevFgscv/YGPfM+nzp4jUURZAz1I0jPsKQqNnAp7Hh56nNABeDppHjzMQMI7k8uplDUTVkFOG7Nk6tjLUyT311kfm5OXJBnbsn9bisvGWX7vt+7NJXrTI3N0cmk6FQKPC2t72Nqamdy/RPEmnglCA+8OgspazOM1+4xHzFxvbjzS+rqyBgoWrvmD05bNb8y5eWe16mdBjBe2O1yV3j+YE3uu7EYXpv+kWv6tp7eXo16ADzKM/JXqK9OYNo+yFFU+9ZxvgwgZuiCGZKWdwg2vB+0TIG2tgM+bFbJUCLq+tojRpvmzX5+28Zo1KpdFz12s567b/XajVWVlZYWFjgqaee2lBukZJyWA6jbftNKACtUyuFStNHFYIzo1v7DbvZTcsOql+V5Qa6qmBo6sC1a1A6dVRNOqoWDVJ/DvO7z1WaWzRnp5MqAKmbFKfO8fa/cy9PnM4yPz/P/Pw8rhtbhatq/HXtk6hSqcTY7HkKywWyoU9BC+LZTo5FtMM8QF1EKE4d6TWYu7JGKRv3iqkZA93MoRk5dDPH2N0PIWYfIftmwfeezfLjD+W5du0aV69e5ebNm6ytrVGv1zvmQ22ToUHMIewXaeCUMHbKnihC7Jo9OWzW/PJyo+dlSocN4g5ar/x3Lozz7MVFml5I0wuAeLMZ5InQcdCr8rh+uDINSrjbz0n7xmyp5m64MdvtOdlJtLdzBxSAF0rCCLQencgcNtv6vRfGcfxwz/eLFWmcP3uGn37/Qzw8WyKKImq1GpVKpfPRbDY3/Ix2uUVKSq84qLYdVNOiSBJFkpypHknLDqNfgniQ6nrTZy/tOlUymRky+b0X5shlVEbzGcqtMsaTql1H1aReadEg9Gfz7/7qUp2MpnTMIbwgYiirb/jdS1m9ozk126dseZt0Jh7gWzDi10d3oDg8nGN4eJgHH3yQtbU15ufnWVhY2BCYVKtVVufKNOYXiDIFxs6epjh1FkXVCH0X32kStEwoAseK/4xkPKJEjZ1xwaNo6uDFfbZQ2TCQ/tRYiTc/9DC6Psyjjz7K93zP9+A4DuVymRs3bnDjxg2Wl5dZXV0liiLuv//+Y70u/SQxgZMQ4h3AR4EngCzwGvCfgF+VUu6rJkYIMQt8EHgf8AAwAzSAF4Bfk1L+Xh+W3nMOkz057M0X0PMypX7XK08WDUpZnV/70hWW6w5V248H5QKGpjKc1ZkoGsdiUzsoelWecNBsWXewmiSRvzhf5cuXVvCDiFDGN1A1O6DhBJgZlVMlk7ffPbbtc7KdaFe6Zoh1ZtAQv29k6/X/ieeuoKriyHb4h822/vAjM7xpqnjgmxVFURgeHmZ4eJjz588DceledyCVyw3+mg6aVJN6z0G07TCaBqDvM6Gxk5Yd9gT4PfdN8s0b6zu+F3VVQRHx7/PpF+ZougENNySIIjRVoWBo5DLqsVms95qjalIvKikGVfHw5P2TVG2fTzx3hfWmR80OOgFQRhMUTY2fePu5jlZ0HCfXLK6sWJ3fr60zERLfj/DDiEozDuI3B4pCiE4P0SOPPMLNmzc7NuBRFHF2NE9WV1mqVihft1HVKxjFEXIjk5jFUcziLaOGIIyozq9xpqjw1IUh/vDrV7i5ts5irYGpiY0D6TWFqSGTH7p/lCJNrly5suG5yOVyTExMMDU1heu6WJaF53kUCruf3p4kEhE4CSF+BPgM4AC/A5SB9wPPAO8EfnSfD/U/AD8HvA58EVgCzhEL1w8IIZ6RUv6PvV19/zhI9uSwN18XJov89ZW1npoy9LNeeTins1h1eGWpznrTwwvjm+SoNeQuCCW2H7JmeYdyAjxJ9KI8Yb+Zwu5gdRBzVHZjs/tV0dQoGipNP4onyYt443/XvRP7Em03aHaCcVUIsroCQuCHESDJqAqKgJfmq/zCZ1/iHz9xFz/8yMyhBfoo2dYzo7meBNCGYTA9Pc309PShfofbjVST+st+tO2gmub6EYoi9jwlarOTlh1Wv956boQPfNfstu9FQ1OpOz5SwmrDbY3UiIe1RpFEUeK9asjUDu1imwSOoklHObUa9JyvL76yzKe+eo26E6AIQTGrogAR4AcRdSfgU1+9Rimnd67nd50Z5tNfv9FxqzV1ZUMvkheGt1xTmz4FY+d7LkVRmJmZYWZmBt/3WVpaYn5+nnPfucl606Pu+JSyGZxqGadaRlE1zNIYuZFJMvkhypZHsVjgux+c4mff/xDf/8Rb+MwLc3zreoVKvY7vNIlcGxOPM0XBd8/mOLvD9WyXC3YjpeTmzZtpj1OvEEIMAb8OhMB7pJTPtz7/L4A/B54WQvyYlPK39/Fwf9t6jC9v+hkPAF8BPiyE+JSU8us9/SUSwGFvvt597wSf/cZ8T00Z+lWvrCkKn3juCjdrDoYWZxWllGiKQFdv3dzG7mkSKTmQE2BS2UuEjlqecJBgtVdW9b1iv+5XC1Vn19dBt2i/vFij6YWxiClxaV7Qmm8kJXgywg1jQbtRcfi3n7/EZ1+c523nxw4t0EfJtg66v+x2I9WkZHBQTSuaGpEE2w+PpGVH0a/2mrvfi6t1lz96aZH1pseQqWHqGW6UbSIZn2ppukIQScJI4gQRZ0dy2H5worRru73nMFbrhzm16scolYOwWYPumy7uy8nxxRvrmLqKH8ZJX6c1/ymUEWHIBo9GP5L8hy9f5QsvL/NT77qHDzw6u+N6dF3nzJkznDlzBn3iPB/9f57j6rXrVG2HoqmjCEEUBjTLN2msLWEFCkF2hDedP9fRlb00JYoiLMuiXq9v+LAsCym3uksKIW6rKoaBB07A08AE8JttgQKQUjpCiI8Cfwb8NLCnSO1U9iClfFkI8TvAPwHeA9yWInWYm69+9bn0o165e0hpPAhPogpBRrtVmpFRFTwi/DAWoiFT27cTYNI4zizafoLVXlnV95JeOkI+ef8kkZT88997CduP0NplEy0diOclwWbXYTeIePVmneW6e2iB7kXfWpIMTE44qSYlhINq2nTJ5BvX14+sO0fVr+734v/2B9+mbHmdPeqNVSs+ZejSrowq8Ijwgog1y+Ou8RwHcbEdFP3QqIMkgvoxSuWgHEaDSlmdi/NVwkhyYaLAmuVhuQG2HxLscNDph5JLSw0++tmXuFa2+Nnvv3fPtT1+zxT/7Effzce/dJm55Qrl1SU0p4II3A2ldyPaGm81MpSvfJOr7mlmZ2cxDGNHTVEUhWKxSLFY3PD5nQIq27bJ5/P7ej5PAkkInL6v9eez2/zbc0ATeIcQwpBSukf4OX7rz9vH2mMTh7356sf08V4/ZrfT0ehIluW6RxjJuIxqE7qqYHshlhswVcxzvdI80MDSJDCoLNpuwWqvrOp7RT8G1/phxHBOR2s1fTfdgFXLI4zieEkQ/0cQZ9GiVlQlJdSdgNduNg4t0IO2dU/pkGpSQjiopk0UDP7lH377yLrTK/3avEc5ftgxAdisXd265frRoYZtHyf91qj9JIL6MUrlIBxWg758aaVjQFLMxh+L6zbXK7e2AgEorddcJGUrYSexvJBff+4q50bzu548tdmoKyPUHB/XquJVVxm11zk7YvCOe8Y4N5anWq1SrVb5zne+w8TEBKdPn2Z6errj2rcXuwVUt9N4iyQETve1/ry0+R+klIEQ4nXgIeBu4OXD/IBW6cWHiF96f7rP79kpA5hoa5DD3Hz1Y4hprx+z2+nICboa9sXWMgpBvGEGkcQOwkMNLB0kSciiQX8Ck17Sj8G17cZwU1cYzWeo2XFfAtCKmthQh97+q9olcEcR6LTsLhGkmpQgDqppvdCdXunX5j2qaoc7ale3bllewGg+k1jtSoJGJUGfDqtBl5frWwxIVhoeUm4MmNq0E3a6Fpd12n7EJ5+7sq/ACXbWlQemixhBg7m5uY6pBMQtEMvLyywvL6NpGqdOneLMmTOMjo4e5OnpcDsFTZCMwKn9bqru8O/tzw8f5sFFvDv9R2AK+LiU8lBCd5I4zM1XP7LdvXzMbqejbmvonYg1SXa+57ADSw9KL254B51Fa9OPwKSX9GNwbXdjeDs7HIRtMYHNP6p9CqUpAj9su/n5RxbotOxuoKSalDAOomm90p1ePM7mPWov7erWLTjasO29OIpWJUGjkqBPh9Wg9praBiRV28fx42u83SO1dUYgMDWB5YZcLzf529fXeNv5sX2vd3tdKTA9PY3v+ywsLDA3N0e5XO78axAEXL9+nevXr5PL5Tr9U9lsdt8/93ajJ4GTEOINYqeg/fIpKeU/6sXP3gf/ltgB6S+AfbsXSSkf3+7zrazfY71ZWn856M3XbuIE8UZ16Wb9QJtsrzLo3Te0WV1BIIg2N5t0IWVcStX5nj2cAI9Kr2q9k5BFa9OrwKRfpydHcW/cie7G8IyqEEYyLsmTEiHYesLZeZ0pRDIilGBqSiKzxHcSqSbdnuxX03bSnfbMpEs368xVmnvuRUfVr817VGw3vbN2desW7G/POihH1aqkaNRB9QkZJ7Weu7QC0BMdOqwGXZgscHG+1jEgWW/eqmwQ2/0+Xa8LRcQnUl4g+bOXbx4ocNoNXdc5d+4c586do9lsMjc3x9zcHJZldb6m2Wzy6quv8uqrrzI+Ps6ZM2eYmZnZdynf7UKvTpyuENu27peFrr+3s3c7vVPbn18/6KKEEL8MfJi4Lv2/OmI9+h1DtzhdnK/yG3/5+pEDgqNm0LtvaEeyOqoi8P0IKeWWm1lJnNnL6ApZTWWl7u7pBHgUelnrnYQsWpujBib9Nrc4qnvjdnQ3htdsf9fssGzVVbTFrJ0tjg0ljueEM2VHUk1K6ejOUfeiw+rX5j2qvadup13dupXPaPvesw5CL7QqKRq1X31qDzIvN32Q8OevLPP8tUpPdOiwGvTueye5vGx1DEjCVonctqdNm3QGYq2RSOpOf9ojc7kc9957L/feey+VSoUbN26wsLCA7/udr1ldXWV1dZWXXnqJd77znQwNDfVlLUmkJ4GTlPL7j/DtrwJvBe5lk7OQEEIDzhM3z149yIMKIZ4B/inx7Iy/K6Vs7vEtKZsYtM1nN903tA03oGCo+GHsnpfRNm43fmsuQt7QqLv+vpwAD8tRar23y2L2o/zssBwlMDmO104/HCHhVmP4K0v1VmnNVqSM7e4VRaCrovW5OCsoifug+nnCmbI7qSaltBmkjm23R+2kXd26ZegKyzWnp9p1EK165k9f5bWlOuNFY8sJW1I0aj/61B5k7oYRfhChq0pswuGHPTOwOKwGdRuQ+C0rvc1as53OxJ+PNaZo9r/bZmRkhJGRER566CFu3rzJjRs3WFlZ6diOK4pyWw233Q9J6HH6c+AngPcCv7Xp394F5IDn9puZa9WP/3vgZ4DPAz8ipbR7t9w7gyQ0f26me6MxNAVdFbhBbOGqq2LDHCdDU1AVcSAnwMNwmFrv9vdtl/0smhpBKHctQ+ymH6UcbQ4rClXbP7bXTj8cIduN4c98/lVeWWrgRxGCVkZYyk6jrqKIzuusnS1W1TjDWTQ0VhteotywUsOJfZNq0m1CEnRs8x41ms9guSFOEOIFEZoqOnOcTF1lLJ9hueb0XLv2o1X51r71ylKD65UrjOUzW07m+lEifRj20ifLDVioODhBiAR0VTCazzA7Evfm9OraH1aDug1IXl+1Ooofl4fTaWzq1pkokp3Xiq4JHjl9fA6rqqpy6tQpTp06xWsLZf7ixVe4cWOO6aki8+vOHaUlSQicPg38EvBjQohf7Ro2aAL/qvU1v9b9DUKIHHAWaEopr3d9XgCfBP5b4HPAB6WUBynXSGmRhObPzWx2OoI4wx9EEq/VwK8I0XKkEQjBgZwAD8phar3/4rVVvn6tQrk1t2Fz9tPQFBpuAAimh8wjlZ/14kb5MKJwnK+dfjhCwq3G8P/l09/kyrJFEEWddKDSqjXX1Vu9CG4QIqXEDeLym3LT5zf/5g0++435Y5lcvxvHOQ/sNiHVpNuEJOjY5j2q0nQwdAUvjPAjiRtEKIpAUwSmprBQtQ+1Z+3GfrRqw+lMGNF0oWhEINhwOvMP3nrmUJUIo/kMz15c7GniZjd9Wqm78aBy4hI4Q1eZKBqd7+3VtT+KBnUbkPz2397A7jKIEF06A+C0BjuH7bmCwP/5V9d4/o31Y9vDt2rJJEpD8vnFF+8oLRl44CSlrAkh/gmxWH1JCPHbQBn4e8S2sJ8GfmfTt72NuNzhy8TDA9v8ArFA2cCLwP+6jV31i1LKz/b417itSErz53ZsdjparjtUbR+3ddRtaCrDWZ2JotH3uTcHrfXOaApzlSa6qjBRyOyY/Vy3Y/emhXWHM6M7O9fsVH7Wyxvlg4pCe7Dfcb52+jX/6OHZEr/y9Fv4yO+/xOXlBl4Q9yVoqiCjik5ZnuOHnenvgjizWTC0npWDHIUkldueFFJNuj1Iko5tt0eZutJx7dRUhaKhkc2oDJl6z7VrL63qPp1Rxa2kULZlqNF9OvP/Pn+DmWFz35UIuqpgeQG//OyrPU/c7KRPSEm56bfK8wSGrjI7nCVvbD316sW1P4oGtQ1ITg9n+ZU/fRXXjyscDE2gqQp+GFfVRPJWKZ8ACobGlZXGse3hO2mJE0lWj3EdSWDggROAlPKzQoh3Az9PPNvCBC4TOw79O9kuptyb860/s8A/3+Fr/i8gFaldSErz505s53TU9OJTmlxGPbYypIPWetteSBBKioaya/bTDSJW6h5rlouhiQOVn223uSElTT9irmLz+qrFC9fKfPgH79v35nYQUXj24uJAXjv9mn/08GyJD//AvXz8S5e5umqx3vQJIokfRp0BuO3NSRWQzaicHskxnNOBwZS0tklCmdJJJdWkk0/SdGwvp79+ltDupVUrdRcvjFBFnOCLKzhu2aJvPp2ZLpnMlMw9KxFWG15sv92ApdDpiR5tZjt9qtmxEYSuxvP4JorGtkFT+3frxbU/qgb9N997N3U34D/+xVVsP8L2I0QrYNqwXgEzw1lOj2SPbQ9PtWQjiQicAKSUfwW8b59f+yW2MSCRUv4k8JO9XNedSFKaP/di0LNuDlLr7fghThARSUmpdVO9E6eGs1Tt2L2m6UVU9nn0v3lzGyqZlC2vM6leIqk5PtVFn5/79Lf4yPseOPIAvc2iMIjXTr97d7qF+StX1lisOTh+SBQBIg6cNEUwmje2CPQgSlrbJKFM6SSTatLJJqk6Ngjd2k2r2vPqwkiS1eNBpZtt0du0T2cW1x3+wVvP8Ltfv7FjJYKuKkRSoghBwVAx9UzP9Ggzm/XpuUsr/Pkry+iq0ulp2o1B3cNs5p/+wL3cNZbnk89d4Xq5uWE9qojLDU8NZxkvZOLPHdMenmrJRhITOKUkh6Q0fyadg7jO1Z0gLslQFIrG7oGTqghG8hkEcGGyQM0O9nX037256ZrCjbKN1zLLiOeHxP05fhSxZnl87HMvU8rpB8r07SX6x/naOc7enc3CPFexubpS57nX1qhYHhcmCmR3yGjC8Ze0JqlMKSVlEKQ6dovdtKodYKrKrfLjblv0brpPZ4ayGr/4/od2rESwvAAaUDDUvunRZrr16flrlU7P0F704tr3So8+8OgsH3h0lj/61jz/6o9eptz0Gc3pjBWMHV30+rmHp1qylTRwStlCP+bj3I4cxHWuZvsoQmDqCkYrq7cbuhKbXPzdN5/iu+8a3fNEpXtzGyqZ3CjbnXr1rK5smBeiq4KmF7LW8Hjm85d6eqx+XK+dQfXudAvzsxcXef7aOkJkdg2a4PhLWpNWppSSctykOnaL3bSqffrTfnY226Jvpvt0Zrfyw19+9lWWQgdTzxy7Hh33te+HHmmKwlBWR9cUZod3PzXr5x6easlW0sApZQv9mo9zO7Jf1zmn1aSay+zvLdedAdtPaUf35la2vA316ptRhOiUUcxX7J4eqx/Haycp9dZJLQWCZK8tJeU4SHVsIztpVXz6IwiRnRMhc5MDXTfbnc5s1qjuXtdB6NFxXvt+6VFS9vCkrCNJ7J36Trkjefrx08yUTGpOwHLN6TSJtgkj2Zk1MVMy+zYnKem0XX3Oj+fxQsnl5Qbz6zbLNYf5dTt2Ywsl58dynB7J4QbhludyM+0M2JCp7zsD1t7ckLJTQ949MG8zQsQ107Yfdo7Ve0W/Xzub6603Z8Ha9dZDprZhdlavaZcC+XtczzZ+JI9tMG6S15aSclykOnaLnbTK9gJCKfGDiKgVNO3kQLdfbUqCHh3Xte+XHiVlD0/KOpJEGjilbMu+A4I+zkk6KTx5/yS/+P6HeOrBKe6ZKJDVVRRFkNVV7pko8NSDU/zrD76Zd14YJ29orDV2n5t5mAxYe3Nr+l015FttjzvEzb9x1rB9rN4r+vna6S5JHCtsnxFtM1YwsNyg54Fhm3Y5SMMJ+hIM365rS0k5LlId28h2WmXoKjldRVcVTF3lrrF8xxV0M/vVpiTo0XFc+37qUVL28KSsI0mkpXopO9Kv+Ti3I/t1nTvMhPH90N7c5ir2hnr17ehu/s3qal9c7fr12jlqvXUvHfiSXAqU5LWlpBwnqY5tZDutWq27/NFLiyys21huPGPqKNo0KD3abn/fzcDiqNd+P3rk+GHnBE5RBGuWu6/+n6Ts4UlZR5JIA6eUXenXfJzbld36kY4yYXw/P/fh2RKvr1rUnNiIYie6m38RHPpYfT8uQr/4/od6+to5bL31pZt1vnK13HMHvv32uB0mGD4qSV5bSspxkurYVjZr1Zumij3TpuPWo/1o0X/9zvM9v/a76ZHlBqzU3Q3262EksdyAT331OqdHcns+j0nZw5OyjqSQBk4p+2LQM5NuF/qZ/Xz68dO8cK1MddHHj2Izim7BksQi1W7+HctnWKjax+Jq16vXzmEshsMg4g++uYDjRz134OtnMHxUkry2lJRBkOrYzvRam45Ljw6iRe99eOagT8uu7KRHlabHQsXZYr8eSQiDiO8s1PiXf/jtPTUnKXt4UtaRFNLAKSXlmOlX9vPh2RIffuo+fu4z32KtNYleVxWEiGvI2xt4u/nX9oMT52p3UJvZ9aaPlBLbCxnJ6X1Za5JLgZK8tpSUlGTRS206Dj0atMPqdnpkuQELFWeL/boEAi8kq6vkMuq+15SUPTwp60gCaeCUkjIg+pH9fPL+ST7yvgf42OdeZq3hEUmJCihCiQcaGhpj+Qy2Hxz6WH2QU8QPWm8tpQQEIzm9r2tNcilQkteWkpKSPHqlTf3Wo0FqEWyvRyt1d1v79XZJYsHUmR3Jslzb/5qSsocnZR2DJg2cUlJuMz7w6CylrM4zX7jEfMXG9uPNLaurIGChah/6WD0JU8T3W29dafpAbHW7H8ejXqw1yaVASV5bSkrK7Um/9CgJWgQb9cgPmzTc2H0u2xoevLkksT0f6zBrSsoenpR1DIo0cEpJuQ3Z6VhdEWKgrna9YL/11qP5DI4foSikE89TUlJSBkQ/9CgJWgQb9ejqikXTCxEi1iIp5ZaSxPZ8rFRzTi5p4JSScpvSj2P1pEwR30+99Uguw395cb5Vrje4taakpKTc6fRaj5KiRXBLj37p2Vf42utlQhlbsAshOiWJE0Vjy1DhVHNOJmnglJJym9PLY/XDuNplVaUvU8T3EuJnLy4mZq0pKSkpKb3ToyRpEcR69BNvP8tcxabu+JSyemyzntEwdGXb70k152SSBk4pKSn75qCudg0nOJTd+UHYSYiTuNaUlJSUlKOTxP39oVMlxvIZ1pseo/lMItaU0nu2D4NTUlJStqHtIpQ3NNYa7q5fO+gp4idprSkpKSkp+yeJ+3sS15TSe9LAKSUl5UA8/fhpZkomNSdgueYQRht7iMJIslxzqDkBMyVzoFPET9JaU1JSUlL2TxL39ySuKaW3pIFTSkrKgWi7CJ0fz+OFksvLDebXbZZrDvPrNpeXG3ihTMQU8ZO01pSUlJSU/ZPE/T2Ja0rpLWmPU0pKyoE5SVPE91rrXeM57p0sUrE8nr24eMcN80tJSUk5qSRRiw6zpjt9qOxJIg2cUlJSDsVJmiK+3VpX6y6Xlhu8sWrxrblqp8F4yNR5eLbE048nI/BLSUlJSdmZJGrRftd0cb7Kp78+x8X5OMBKdSj5pIFTSkrKkThJU8Tba/3iK8v81t9eZ7HqYLlBZ4Cu7Ues1F2Wag7fXqjyM09e4Mn7Jge97C0k6QYhJSUlJQkkUYt2W9MXX1nuDHJPog6lOrM9aeCUkpJyR3FxvsrHv3SZ11cthkyNmcnCBtvYMJKsNVxeX7X4+BcvM1EwBprx2+mULHnqb7sAACAASURBVM1OpqSkpJxMkqxD7VOwr1+rsNZwCSKJpgjGCgaPnxu543UmDZwSwkmP7E/6+lPuHD799TkWqw5DpsbkkLnl31VFtD7vsFh1+MwLcwMRic0lHDXbZ932iSIQAkZyGXIZJTHZyZSUnThp+nDS1pty8kiqDn3xlWX+zZ++yrW1JrYfIgAEIOFmPQ7kvvZGmf/5h+67Y3UmDZwGzEmvbz3p60+5s7hRbnJxvorlBsxMFnb92rGCweXlBi/NVblRbh7rjdPmEo6MprDe9PHDCABNEVhewHAuy2ROT9wpWUoKnDx9OGnrTTmZJFWHLs5X+dgfv8zVVSv+hJSoqoIQICUEYYTjh7y6VOdjf/zyHaszaeA0QJJe37oXJ339KXce316Ib4gKprbrVHeIM34FU6Pm+Hx7oXpsgdN2JRw3yk0AMqqCrin4LQGbX7fRVYW8oSbilCwlpc1J04eTtt6Uk0tSdegTz13hjXITKSW6pqCrKt2ry7S0xw8i3lhr8snnrvLvfvzRvq0nqaSB04BIcn3rfjjp60+5M2l6IWEk0fcQqza6IoikpOmFfV7ZLTaXcDh+SMON153VFQRxAOUR4QXxTV3eiMV0kKdkKSltTpo+nLT1ppxskqhDN8pNvnq1TBBG6Kogo24d89rWHiklfhjxlatrd6TOpANwB8Tmm6PNWYd2feuQqXUyyEnipK8/5c4kl1FRFYG/aZr7TviRRBGCXEbt88piuks4xgoGcEtkVUUgxK33ma4qhJHEcgNcPy7h25ydbD/msxcX+b0X5nj24mLn9ColpV+cNH04aetNOdkkUYe+fGmFmuMDkNF2/zmaoiAlVJoeH//S5TtOU9ITpwGQ1PrW/XLS15+SDAbRgP3QqRJDps5K3e0EIzsRRpKGEzBVNHno1PFkl7cr4QgjiUSyeaWC+IYuiCSWF2DoGeBWdvLSzTpfuVpO+zVSjpWTpg8nbb0p/eU4dCmJOnR5uU7UCtB2Wk0YxSdNsSaBH0o+d3GJ12427ihNSQOnAZDU+tb9ctLXnzJYBtmAfWY0x8OzJZZqDmsNd1s3ozZrDZe8ofHI6eNz1NquhENVBAJBxNbsZHwAJQm7Mpd+JAmDiD/45gKOH6X9GinHyknTh5O23pT+cJy6lHQd2g4/jEvDI2KjiDZBGHFlpXFHaUoaOA2AJNa3HoSTvv6UwZGEBuynHz/NtxeqvL5qAQ5jBWPbfoaaE3B+PM+HHjvdl3VsR7uEw26V3nV/zvcjpJQbyvWkBCHEhtOp9aaPlBLbCxnJ6Wm/RsqxctL04aStN6X3DEKXkqZDFyYLKIogCLbqTBjJOGiSgIh7fCJAETBRNBgvGHeUpqQ9TgMgifWtB+Gkrz9lMHQ3YGdUwYXJArPDWSaHTGaHs1yYLJBRRWfzvThf7cs6Hp4t8TPvucD58TxeKLm83GB+3Wa55jC/bnN5uYEXSs6P5/mZJy8cqwC0SzgaTtA5RTJ1lYLRes+Ft95zkljQNEWQz8Q5sLWGi5Sxuo3k9LRfI+XYOWn6cNLWm9JbBqVLSdOhd987yZCpA+CFG98LfhifNCFAEQLZkhRVEQxnM3ecpqSB0wDY7uZoJ9r1rUOmfmx9Fntx0tefMhiS1ID95P2T/OL7H+KpB6e4Z6JAVldRFEFWV7lnosBTD07xi+9/6NhLDtolHHlDY63hdj4/UTTIqAqhjDN/bVcjVRHkDQ1NFSzXHCrNuLlXCDrmEjsxVjCw3KDTr5GS0gtOmj6ctPWm9JZB6lKSdOjMaI63nx9FUxSCVlmelJIoikvBpQQhQcrW34EhU8fQb4URd4qmpKV6A+Ak1rd2c9LXn3L8JLEB++HZEg/PlgZiUrEb25Vw5A2NUyMmCxUHN4ywWmVCuqogibOVeUNjNJ/B8SMUhbRfI2UgnDR9OGnrTekdSdClJOnQT737Hl5ZqvP6qkUQSYJWIqGdT5Ct/wjiSohTw9kN33+naEoaOA2IpNW3HpSTvv6U4yXJDdhnRnOJ2uDbJRztmvvLy41OzX3OUPGaEZqioCownMtQNDWGTJ1HTpcYyWX4Ly/Ot8r19ibt10jpBydNH07aelN6Q5J0KQk69PBsiY+87wF+5U9e4Xq5GffaStmxJZKAKsDQVc6O5sgbW8tV7wRNSUzgJIR4B/BR4AkgC7wG/CfgV6WUh74CQoiPAv9763+fklJ+4ahr7QW73Rz5rXKAvKENpM9iP5z09accL2kD9sF48v5JJooGn3lhjpfmYnGPpKSU1TkzkuOu8Rz3ThYZLxobspPPXlzcYi6xG34kyapK2q+xDXeaJvWSk6YPJ229Kb0h1aWtdGvP82+UuVGxqTsBSDB1haKpM1E0tg2a4M7QlEQETkKIHwE+AzjA7wBl4P3AM8A7gR895OM+BvwC0AB2P4cdADvdHGVVhamiySOnS3zoseT64p/09accH9u5xe3GnbD57sVhSjiSOB/kJHKnalIvOWn6cNLWm3J0Ul3anm7t+fKlZX7jL19nueZyYaJAdoeACe4cTRl44CSEGAJ+HQiB90gpn299/l8Afw48LYT4MSnlbx/wcU3gPwNfA64A/7inC+8RSapvPQwnff0px0N6Q394DlLCkfZrHJ07XZN6yUnTh5O23pSjkerS7pwZzfGPnriLy8sWX3j5JnXX3zVwulM0ZeCBE/A0MAH8ZlugAKSUTquk4c+AnwYOJFLAx4DzwFuAn+/RWvtGEupb///27jzajqpM//j3AYQAYphaQWgJIJPaogIqcwAHbBWQQVFB4tRt/xwQsZ1a2qBit720RdEWbcU4tiioiDIoQxgVUQRF5iEMMkQSIEyBhLy/P959oFKpc8+5955zzx2ez1q1Kqlh167h1nt21d67RmOi59/6yz/ox47ba4yaY1KPTbT4MNHyayPjuNQdx5TljYfuyPcs4zMa5p0PPAzsJGnovnUrJO0JHA58NCKuH30WzWy0DtxuYzacPo1Fi5cyf9HiFbr+fXxZMH/RYhYtXsqG06dN+ptvv4y374NMQI5JZlOE41JnjinLGw9vnLYq4+vqMyJiqaSbgecCmwFXd0pM0nRgDnAB8KWRZkrSH9rM2nqkaZpNZW6APXbcXmNUHJPMpgjHpe44pjxpPBScWke53eeYW9PX7jK944B1ybrp3fXJa2ZjwjffseP2GiPmmGQ2hTgudccxJfWk4CRpHrDJMFb5fkQc0ott1/JxANng9t0RcdNo0oqI7dps4w/Ai0aTttlU5pvv2JqK7TUck8xsOByXujcVY0pVr9443Uh229qtOyr/bj29a1eUb02/b6gEJa0LHE823P3qMPJiZgMw1W++1leOSWY2bI5L1klPCk4RsdcoVr8W2B7YEliuDrekVcheiJYCnZ7WPQtYH9gLWCY1div56zL9iIg4dhR5NjOzccoxyczM+mE8tHE6B3gzsDfwf7V5uwFrAOdHxKMd0lkAfLPNvN2ALYDTySeLV444t2ZmNpk5JpmZWaPxUHA6CfgscLCk4yofG5wGfLoss1w1B0lrkE/zHo6IWwEi4jbgHU0bkDSHDFL/HRFn9WMnzMxsUnBMMjOzRgP/jlNELALeCawMzJX0DUn/BVwO7EgGsRNrq72Y7Ab2O2OZVzMzm9wck8zMrJ2BF5wAIuJnwO7kxwUPAN4LLAE+ABzsLlzNzGysOCaZmVmT8VBVD4CIuAj4xy6XnQs0trRts/wsYNZI8mVmZlOPY5KZmdWNizdOZmZmZmZm45kLTmZmZmZmZh244GRmZmZmZtaBC05mZmZmZmYduOBkZmZmZmbWgQtOZmZmZmZmHcifoxgeSQtWX331dbfZZptBZ8XMbFy6+uqreeSRRxZGxHqDzstk55hkZja0XsYkF5yGSdLNwNOAeV2usnUZX9OXDE0sPhbJx+FJPhZpsh2HGcCiiNh00BmZ7EYQk/phsl2/E5nPxfji8zE+zKBHMckFpz6T9AeAiNhu0HkZNB+L5OPwJB+L5ONgE5mv3/HD52J88fmYfNzGyczMzMzMrAMXnMzMzMzMzDpwwcnMzMzMzKwDF5zMzMzMzMw6cMHJzMzMzMysA/eqZ2ZmZmZm1oHfOJmZmZmZmXXggpOZmZmZmVkHLjiZmZmZmZl14IKTmZmZmZlZBy44mZmZmZmZdeCCk5mZmZmZWQcuOJmZmZmZmXXgglOfSNpY0gmS7pD0qKR5ko6VtM6g89ZrktaT9A5JP5V0g6RHJN0v6UJJb5e0Um35GZJiiOGHg9qX0Srnud1+3dVmnZ0knSZpYTl2f5L0fkkrj3X+e0HSrA7nNyQ9Xll+wl8Pkg6UdJykCyQtKvn+Xod1hn3eJb1G0tzy9/WgpEskHdb7PbKprFfxS9K6Zb15JZ07Srob9yvvk1Evzoekl0v6vKSzJS0o96gL+5nvyWi050LSmpLeLOkHkq6R9JCkByT9XtKRklbt9z7Y6PgDuH0gaXPgYuDpwCnANcCLgT2Aa4GdI2LB4HLYW5LeBXwVuBM4F7gVeAawPzAdOBk4KMrFJmkGcDNwBfCzhiSvjIiT+p7xPpA0D1gbOLZh9oMR8bna8vuSx2cxcCKwEHgtsBVwUkQc1NcM94GkFwD7tZm9K7An8MuIeE1ZfgYT/HqQdDmwLfAgcDuwNfD9iDikzfLDPu+S3gMcBywo6zwGHAhsDHw+Ij7Y492yKahX8UvSeiWdLYFzgEvJv4t9gfnAjhFxUz/2YTLp4fn4GXnsFwM3AM8DLoqIXfqU9UmnF+dC0t7A6eQ9/1zyXKwD7ANsUNLfKyIW92k3bLQiwkOPB+BMIID31qb/d5l+/KDz2OP93ZP80bdSbfoGZCEqgAMq02eUaXMGnfc+HIt5wLwul30a+QPiUWD7yvRp5M0zgIMHvU89Pj6/Kfu1z2S6HsjAuQUgYGbZn+/16ryXY7SYLDTNqExfhwy8Qf4QHfix8DCxh17FL+BrZfnP16a/r0w/Y9D7OhGGHp6PHYHnAitX7rkXDnr/JtLQi3MBvAB4M7BqbfpawB9KOkcOel89DHEOB52ByTYAm5cL/+aGgsRa5BPph4A1B53XMToeHyvH47jKtAn/Q3mI/R1Owelt5Th8u2HenmXeeYPepx4em38o+3Q7sPJkvR66KDgN+7wDnyzTjx5Oeh48DGfoVfwCngo8XJZfqzZvpXKfDGCzQe/zeB769XvCBafxcy5q6bypbOPUQe+vh/aD2zj13h5l/KuIWFadEREPABcBawAvHeuMDciSMl7aMO+Zkv5Z0sfK+PljmbE+Wk3SIWW/Dpe0R5t2K3uW8RkN884nf3jsJGm1vuV0bP1TGX8zIh5vmD9Zr4e6kZz3odY5vbaM2Uj1Kn69FFidrAr2QC2dZeST++r2rJl/T4wfY3Euhvq9ZOOEC069t1UZX9dm/vVlvOUY5GWgJK0CvKX8t+kH38uB44FjyvgKSedKetYYZbFfNgC+S+7XsWT9/usl7V5bru21EhFLySdbqwCb9S+rY0PS6sAhwOPAN9osNlmvh7qRnPeh1rmTfNK5saQ1eptVm2J6Fb8cB3vDx3H8GItz8bYybvq9ZOOEC069N72M728zvzV97THIy6D9J9kA9bSIOLMy/WHgU8B2ZBuNdYDdyYaSM4GzJa05tlntmW8Be5GFpzXJ6mlfI6tGnC5p28qyU+laeT25H2dExG21eZP5emgykvPe7TrT28w360av7klT6d7WTz6O40dfz0Xp/Gdv4HLghJGkYWPDBSfrC0nvA44ke505tDovIuZHxL9HxGURcV8ZzgdeAVwCPBt4x5hnugci4uiIOCci7o6IhyPiyoh4F9l4dHVg9mBzODCtanpfq8+YzNeDmZnZUCTtT9ZOuYvsSGtJh1VsgFxw6r1OT35b0+8bg7wMRHly8kXgKmCPiFjYzXqlmlKrGtdufcreoBxfxtX9mhLXiqTnAjuRnUKc1u16k/h6GMl573addk9DzbrRq3vSlLi3jQEfx/GjL+dC0n7AD8meVmeGu+gf91xw6r1ry7hdPdctyrhdPdkJTdL7yW/NXEkWmho/+jqEv5XxZKqaBc371fZaKe3DNiUbiU70G2mnTiGGMhmvh5Gc96HW2ZA8PrdHxMO9zapNMb2KX1M6DvaQj+P40fNzIekg4MfA3cDuEXFth1VsHHDBqffOLeNXSFru+EpaC9iZbNPx27HOWL9J+jDwBbKO7h4RMX8EybR6pJnohYW6pv06p4z3blh+N7KHnosj4tF+ZqyfJE0jq2o+DnxzBElMxuthJOd9qHVeVVvGbKR6Fb9+CzwC7FzWq6azElkNt7o9azZlf0+MQz09F5LeDPwfcAdZaLq+wyo2Trjg1GMRcSPwK7IzgHfXZh9NPhn+bkQ8NMZZ6ytJR5GdQfyB/Or1PUMs+6L6jadM3ws4ovz3e33JaB9J2qapEwNJM4Avl/9W9+sk4B7gYEnbV5afBny6/Perfcns2DmI7Ozh9IZOIYDJez0MYSTn/VvkB3PfU66n1jrrkN9Kgyerg5qNyEjil6StJW1dS+dBsmfRNVmxXed7SvpnulrS0Hp1Pmz0enkuJB0GfAe4FdjNfwcTiyI/umU9JGlz4GLg6cApwNXAS8jvAFwH7BQRCwaXw94qN4E55FuF42huZzEvIuaU5eeSr7UvJtu9ADyfJ79Dc1REfLqewHgnaTbZIcb5wC3AA+RH814NTCPb97wuIh6rrLMf+UN6MVnPeSGwD9n16UnA62MC/5FKugDYBdgnIk5ts8xcJvj1UM7jfuW/GwCvJN+SXVCm3RMRH6wtP6zzLum9wJeABcCJwGPAgcDGwOer6ZuN1HDjl6QAiAjV0lmvpLMl+Tb0d8A2wL5ke46dyo9RG0IPz8cuPNnJzlOBA8jz0PoOHBExq1/7MRn04lxI2gM4i3xxcQLQ9EDxvog4tk+7YaM16C/wTtYB+HvyKfGd5A+cW8heU9YZdN76sK+zya9dDzXMrSz/duAX5NfjHySfpN9K/hjcddD7M4rjsDv56v0asoHoErKNzq/J71mpzXo7k4Wqe8nqLX8m37SsPOh9GuXx2Kac+9uG2pfJcD108TcwrxfnHXgtcB5ZKH8IuBQ4bND772FyDcOJX61rvE0665IdBd1S0rmT/LG48aD3cSINvTgfwKxOcXrQ+zkRhtGei27OQ1O88DB+Br9xMjMzMzMz68BtnMzMzMzMzDpwwcnMzMzMzKwDF5zMzMzMzMw6cMHJzMzMzMysAxeczMzMzMzMOnDByczMzMzMrAMXnMzMzMzMzDpwwcnMzMzMzKwDF5zMzMzMzMw6cMHJzMzMzMysAxeczMzMzMzMOnDBycYNSXMkhaQZg87LeCTpjZL+KOmBcpyOHXSeBqHs+9wepTWzpDe7F+mZWX9JmlH+ZucMOi9TgaRXSLpY0n3luP9s0HkaBEnzJM3rUVq+hicwF5xsUpI0V1IMOh+9ImlH4PvAWsBXgaOBMwaaqQnAAcrMxspke/hX9uMUYFPgBDLu/HCAWZowevmAz8aXVQadATPryqsBAW+JiIsHnZlJ5HfANsA9g86Imdk48zJgGnBkRPxg0JmZRP5Kxp37B50RGz4XnMwmhmeW8R0DzcUkExEPA9cMOh9mZuOQ404fRMQSHHcmLFfVs+WqM0naUtKJkuZLWiZpZllmO0lflHSFpIWSFku6XtLnJa3TkOaskuYsSXuUqnMPSFok6ZeSthlG/raV9Ney7su72Rdg9/L/qAxzK8vNK8PTJP13+feSVlsXSc+U9O+SLpJ0l6THJN0h6QeSntPhGM6Q9ENJ95Tj9HtJr2lYZ1VJ75N0maR7JT1c8nGKpJdVjyPw1rLazZX9mVFJaztJJ5fz9qikWyT9j6QNG7bbqk6ymaT3SvqTpEdax6fa7kfS9pLOkHR/yePJkv6+LLdZ2c+/lfXPlbRtm/OyhqSPSrpc0kOSHpT0G0lvbLP8qpKOknRj2Z+bJX1a0mpNy7dJYzZwc/nvYbVrYVZ9X2vrzi3Tn1KugxvLubxW0jsry71L0p/L/t8u6WhJjfdVSS+RdFLlerpN0tckPbNpeTPrnqSVlDEqJP1E0upl+uwybaaynegfyr32jnLvX60st2f5u19U7nXflbTeMLYfwGHlv9X79LzKMq37yqrlvnJtub/NKfOnS/pXSeeU+8lj5f76c2V17cbtlnTXl/R1SXeWNP8i6a0Ny0vSYcp2S38r97XbJJ0p6Q1lmZllf44uq51b2Z+ZlbS2kPQdZXxuxcjvSNqiYbvV8/AmSZeUODCvzK/G0M3LvXKB8nfDryQ9ryz3d5X9XCzpUkl7tDk2q0j6f5J+W87rw8p2wu9puk+XY/OecuwWl/36sqTpTem32WYrZgPsruXjzuz6vtbWbcXmTUs+rir5mCfpY5JUljtI0u+UsXR+yePqbfKzdUn3tnKO7lb+jtmq232y5fmNk1VtDlwCXEe2p1kdWFTmvRN4HXAecBZZ6N4O+ADwKkkviYgHGtJ8DbAvcDpwPPAc4B+BHSQ9JyKGrCIlaS/gJ8BDwG4RcXmHfbiPvNnPAjbhyRs/wLzasqsC5wDrAr8q+9r6ob0b8BHgXOBk4EFgC+BAYB9JO0fEFQ3b34Ss/nUT8N2S9huAUyS9LCLOrSw7B3gjcCXwHeAR8gnfLsDe5HG+vOzDfsC2wBfLPrb2FWWh7GSyKt9JwC3kufkXYF9Ju0REa7+qvgjsCvwSOA14vDZ/B+DD5Dn/X+AfgP2B50naF7iQfGr2nbLf+wO/lrRZRDzYSkTS2uRxfiFwGVlXfiXglcAPJD03Ij5eWV7Aj8jr5kbgy+S5elvJQ7fmAmsDhwNXANVGzZ2uo5YfAi8hj88S8vx/XdIS4PnkD6VfAGcD+wD/DjwMfLaaiKS3AV8HHgV+DtxGXk/vAF4r6aURcesw9s3MCknTyJi1P/AV4H0Rsay22HuBV5H3gbnAK4AjgHUlnUL+rf+S/DvdCTgEWL+s040h79M1J5P319NLfuaX6dsAxwDnl7zcCzyLvLe8StJrI6KpbevawEXAY2QMWA04CDhB0rKI+HZl2WOAj5Kx7kdkdbENS34OAk4kY+XRwEzyIeS3eTJ+zgOQtAMZo9Yi72lXAVuTx23fEu8ubcjrkcDLgVPJ+FovlMwgf4dcTcbIGeRvj7ml8HgGGatPJOPrwcDpkras3kMlPaVs45XAtcAPgMXAHsBx5H390Nq2jwXeB9xJXgdLyDj0EjIGPdawP3WtmP0JMhbPqcyb28X6AJ8jj/2p5G+TfcjztqqkhcB/ktfNBeSxfDewMhnznyBpb/L3U+tY3ABsTP6dvFrSHhFxWZd5spaI8DDFB/LGFGX4TJtlNgFWbpj+9rLeh2vTZ5XpS4G9avP+o8z7UG36nDJ9Rvn/IeSN6ipgk2Hu09y8vNvOn1e2dRawZsP8pwNrNUzflixEnT7EMfxEbd4ry/TTKtOmA8uA37c5rusNdWwq058KLCALPbvW5n24rPOrNmn9Fdi0YdszK/vy5tq8b5bpC4F/q807qsw7vM326ud7GhkElwEvqEx/U1n+N8C0yvR1yYJUAHOHeW3PaTO/ta+zm64f4FJg7cr0zco1eS/5w2Ojyry1ybZSfwNWqUzfsqxzQ3X5Mm+vcu5+Opzr24OHqTrU/6bLfeHCch/5cMPys8vy9wPbVKavBvyl/P0tAHavzFsJ+HVZ7wXDyFvjfboyv3Vf+ROwfsP86W2mb0xWl7u6YV7rXv0NKrGEfEi5FLiqtvwC4HZgjYa01q/9v3XsZtamiyzYNMWIN5Tp1wArNaT1EPDCIc5r0D62LCQfwFbTPbTM+0KbvB9XOy4r82Qc27cyfacy7QZg3cr0aWQsCmDeMK6FtnGqfg03XD/zaI4tD5HxpX4dX0U+lHt6Zfo6ZJy6B3hObTvPI3/HXDZWf7eTaXBVPau6m+Xf0DwhIm6JiPobCci3B4vIwkGTH0bE2bVpXy/jF7fLiKSPkG8yLgF2johbhsr4KBwZEQ/VJ0bE/Gh4gxb5lukcYI/yRKvuFuDTtXXOBG5l+f0NMvg8Sgb8+nYWdJn/fckfDidGxAW1eZ8nb8Avl/SshnX/K5rfRLVcGBHfr01rPbm8n3zqVfWdMn5Ba4KyqsshwO8j4r+qC0fEYrJwJ7Kw1NKqXvKxskxr+YXAp4bIbz98JCKeeGIcETeRP9LWBj4VEX+tzLuPfKq3PrBRJY1/IZ/4HV5dvqxzNvm09rWS1urbXphNQpI2Id+0vBg4NCI+O8TiX4qIq1v/iYhHybcWKwG/jIjzKvOWAd8r/22sfjxKR0VDbYuIuL/N9NvJN0lbt7mXPwx8oBqjI+Iq8thsI+mpteWXsGINA5q23cZO5Nul39RjREScSN4jtyJrT9R9PSL+OETa81gxtrTizmrAv8bybxN/QBYQq3FnJfIN413AEbXj8jj51iuAN1fSacWdY0qsaS2/mHxDN5aaYsvPgTWAr7a5jlcl31i2vIWMU58o1wKVda4ka5G8UA1ND2xorqpnVVeUP8IVlELCP5OvxZ9DPhmrFrw3alqPfKNSd1sZr9A2qvgCWeXhZOCQ6o/nSn7eT94Uqn4WnavyVS0mn/w1kvRq4F3A9uSP4frfy/rkK/2qy9sUMG8DnqijHhGLJJ0KvBa4XNLJ5Gv3SyI7LOjWi8r4nPqMiFgq6Xzy6dYLycJb1e86pN107lqNhJv2s3Wj37gybQfyCV+7byW1Cp/VG/6LyMLkhQ3Lzx0iv/0w1DH4Q8O86jFoFfZb5333Ur2l7unkMdqyTZpmtqKtyDcBawKvanhAVzeav2Ug26+Q99OquRExt8O269reeyXtTFYv3pG8N6xaW2QjVryXXx8Ri1hRNda2qk9/nyxUXCXpR2RV7N9ExHB6eGsbdyrTdyHjzvm1eZ3iTlNsaZ2n6+oPNCPicUl3s3zc2ZJ8oHg9kgo9ogAADpxJREFU8PHSNKjuEVaMO5DHo+5CGgqafTTqa5Un4862bWLvlmW8DfnGyrrkgpNV3TXEvBPJesY3kd91uIt8WwLwfvJJUJMV6neXH/SQPxab7FbGv2gqNFW2uUlt2jy6b7sCMD8i31vXSTqcrO98L1ll41byqV7wZD32pn1uqs8O+USs/ob3DeQblzfx5Ju+xZJOAj4YEXd3sQ+t+uH1Ahy16fVCJgx9vqG5q9Sl7eZVzmv1TVyrcfUOZWin+kR0OrAwsuehuk557qk2PybaHoPKvKZj8K8dNld/Kmxm7bV+HF9Otp3spBd/y7MoHQ/VzO1i+1WN9zFJryPfLC0m486NZPWsZTzZ3mi4cQeWj7VHkHH8rWQ73o8ASyWdRtbAuKGL/I9p3KnElnaFu6U033O3INsatVOPO5A1b5q2P5afrOhl3HknQ3PcGSYXnKyqXSFie7LQdBb5ZG9pZd5KwId6nI/9yCqA35T0lIj43xUyGjGjB9tpt7+rkPWj7wJeFBF31uY39m407I1HPFK2M1vZU91uZGA+hHyquWsXybRuohu0mb9hbbnlstBlVkejtd0vRMQHhrHOuuXc1wtP7fZzPGsdg+ltngqb2fCdSjb6/wxwtqSXD6OK84hExMwepdPu3vspsj3k9tXqWACSvkZzoW24236cfCh4rKSnk2+GDiY7hnhu6aynseZJxUSJOz+NiP2Huc4zyILlE8pvgvXJtmETRWt/to2ItjVrbPjcxsm68ewy/nm10FS8mOx9r5duIwsR1wJfk/TuEaTxOICkdm+1hrI++aTs4oZC01N58pV+z0TEbaWu+CvJxqm7qLuucFt1xWfWZ5SbfavwNaiec35HPi3tphDYchl5b2qqHz9zmNtvVa8YyXXQK78t4+EcAzPrICL+g3yD8kKy17VnDDhLo73fPJvszKFeaGp3PxyV0pb3JxHxerJ63eZkxwGdtI07Rat78EHFnWvIt3AvbdMWuUkrr02F010Y/jldNoJ1eslxp09ccLJuzCvjmdWJ5WnVV/qxwVJg2R34M/BlSUcOM4nWk8emhrSdzCer5W1XbVRbbsBfJAtWo6L8FkVT19prkq/Ol9Jd16c/I3saeqOkl9bmvR/YFDgrBtTVdUTMJ+vUb6/8LtMKgUT5zY5NK5O+VcbHlG6GW8utC3yc4bmXfMI5kuugV75MNsb+gqQt6zOV33RxcDMbgYg4luyA5bnAeRrsd9FGE3cgY+0W1X0on2eYTbYtHhVJq5U2VPXpTyGrPULGvk4uIh9s7iLpwFpaB5I/1q+juZ1q35UHvMeRb76+1PSNI0kb1jpGmFPG/1ZiTWu5aWRPwMO1APj7EazXK98iC4+fkLRCR1zK757NHPNcTQKuqmfduJS8Ue4v6WLyZvgM8vsW19Knr4pHxN+UH7Y7E/icpGkRcUyXq59NVj34Sam7/QhwS0R8t4vtLpP0JbLu95/LNz5WJZ+irUt+e6Lxg3vDsBHwR0l/JjuouA14Gvndqw3IHqCavotVz+uD5RtBPyZ/NPyYbI+1HfmdkrvITj0G6T1kXfNPAodKupCsR/5MsmHqDuT3rFo9/P0f2f5rH+DKcvyfQn5D6VLyqWhXyvG5BNhV0vfJYP44+fZ0TKovRMQ15RydAPxF0hklH08hf2DtSnYxu/VY5MdssomI4yUtJruZPl/SngN6WHQ22Zbxf0uHPw8A90XEl7tc/wtkd9t/LOsvAXYmC02tzoRGY3XgQkk3kJ0M3EJ2t/1y8l788/rbriYREZIOI9thnVju0deQHXbsR+73W2LFb2mNpU+RbZHfRfZaeg7ZicLTyXi0M/BvlI4RIuIiSceRHWdcWdoat77jdC/t23O1czZwcOkE6rKS1vkRUe8soy8iYkEpxP4U+K2ks8nu94Ms0O1ItoOa1j4Va+KCk3VUeq3Zh+xm+x/JD8T9lfxuxKfpY48sEbFQ+RHc04FPl8LTUV2s+g2y84iDyTZYq5C95XQsOBVHkT9m30EWPO4ng8THadNl+zDNIxutziQLYeuTb46uJQtsP+w2oYg4pTxF/BhZ1W86WWA6nuzWtC8F22Hkb5Gk3YF/IjvCOIC8Wd9N9np0BHlsW8uHpIPI4zCLLHjdST5B+yTZcHo4DiV/kOxNFtBE1lUfs3rfEfE9SVeQ3eDuQRZqHyIfOpxEdr5iZiMUEXMkPUp+FqFVeLqp03o9zsOZpXbEO8k3/quShZOuCk4R8bWyD+8nP679CNnb6lvJ++ZoC04PkR0S7UF2Kd4q5NxIvrU7oduEIuKS0kvox4GXlbzdQz74+lREXDvKvI5KRCyRtB/ZZngW+VDyqWRcv5mM8fXPbRxOPtR6Nxn3F5AFj4+RH1EfjsPJQspe5O+mlcjfDmNScIL83IWk5wMfJH8b7ErWZLmDrJp58ljlZTJR+zaKZmZmZmZmBm7jZGZmZmZm1pELTmZmZmZmZh244GRmZmZmZtaBC05mZmZmZmYduOBkZmZmZmbWgQtOZmZmZmZmHbjgZFOOpG9Lmi9pzUHnxVYk6QOSlkjyB2HNbNJzTBrfHJOsygUnm1LKB/sOBf4zIh4aB/lZWdIRkv4k6RFJCyWdJmmnEaZ3mKTfSXpQ0v2S5kp6TS+3L2l1SUdLulbS4hLwfyRpmyHWOaDk5f6ynb9I+qikVRsW/yr5kcLPDWvnzcwmGMek0W/fMcnGkj+Aa1OKpF8BLwY2jIhHBpwXAT8CDgSuBU4F1gXeAEwDDoiIU4aR3ueAI4HbgZPIr9YfXNJ8b0R8ubb8sLcvaTXgbGBn4Pfk18f/HjiI/CL5nhFxSW2dzwAfBR4kv1S+kPyC+fYlrVdFxJLaOh8CPgvsHBEXd3sMzMwmEsek0W3fMcnGXER48DAlBmBLYBnw9UHnpeTnjUAAFwHTKtN3AB4F5gNrdZnWTiWtG4B1KtNnAAuAxcCM0W6fDDYB/BhYqTJ93zL9L7XpLyrT7wU2q0wX+RQvgA807M8zgceB7w36PHnw4MFDPwbHJMckDxNvcFU9m0reRt4cT6xOlDRTUkiaLWlHSWeV1/cPSDpT0vZ9ys+/lPHHI2Jxa2JEXFry+Hfkk7duvKuMj4mIeytpzQO+AqwGvHU02y9PA1vb+VBELKuscwpwAfAcYPfKNvYr429ExE2V5QP4WPnvu+s7ExF3AOcDB0p6Wtu9NjObuByTRrF9xyQbBBecbCp5GfnE6Ldt5r8EmEs+2foKcDqwF3CBpF17mRFJ08gncg+TN/e608t4zy6TbC13RjdpjXD7mwPPAq6LiJu7XGeDMr6ptiwlmN4LbCZp04b0LiKD624N88zMJjrHpNFt3zHJxtwqg86A2VgovRW9ALg62jfA3ZtavWtJ+wI/A06QtFXriZakGcCsYWZjTnnaBnnDXxm4KSKWNix7fRlv2SnRsm8bAQ9GxJ1dpjWS7W9Vxte1yUrTOveU8QpBSNLawDqVtOuB79Iy3g34RZttmplNOI5JK6TlmGQTggtONlVsRN6Um27iLTcA/1OdEBGnSDqPfNW/K3BemTUD+MQw8zAXmFf+Pb2M72+zbGv62l2kO5K0xmqdX5J10N8p6X9aQbpUsTimstw6rOiuMn5Wm+2ZmU1UjkmOSTYBueBkU8V6ZXzvEMtcUK0jXTGXDFIvpASpiJhL1k23IUTERZK+Cbwd+JOkag9GzweuAbYmG0jXLSzj9ccir2ZmY8gxaQAck2y03MbJpopWN6/Thljm7jbTW0+ZpreZPxKtJ2Ht0mxNv69PaY3VOgDvBP6Z7F729eXfi4CZwI1lmfkN6a1exgPtotfMrA8ckxyTbALyGyebKlo3wfWGWOYZbaa3GpM+UR2gB/XJbyQbBW8maZWGOt1blHG7uttPiIiHJP0V2EjShg11ypvSGsn2ry3jdnXcG/Nceiv6ehmWI+kfyCd7lzWk1zpXTQHMzGwic0xyTLIJyAUnmyruJL/8vdUQy+wiaaWGqhEzy/iPlWkzGEV98ohYLOlisnrArsC5tWVfVcbndJn2OeTX5/cGvtUprRFu/0bgVmBLSZs29GI0rDxLmknWFT81IprqqG9dxpd3k56Z2QTimOSYZBPRoD8k5cHDWA3kl8sDeHZt+swyPYD31Oa1PqJ3PZWP6PUoP9187O9ptXU2JG/e02vT+/Wxwfr2h/WxwTLvaQ37vknJ66PA89scn2+XNJ836GvHgwcPHno9OCY5JnmYeIPKxWA26Ul6I/ADMhB9pTJ9Jvl06wzyew9nAVcAzwb2B5YAr4iIpm9LjCY/An5EftDvGuBUsirAG8h67wdEfsSvus4c4DDgrRExpzbv88AHgNvJgLxqSWs9al3ajmL7q5FP73YCfg+cTT6hOwh4DNgzIi6prfNjMihdRjau3RTYB3gKcGhELPfxx7LOSsBtwAMRsXV9vpnZROeY5JhkE9CgS24ePIzVQN607wYuqU2fST5Fmg3sSAapRcADwK+AHfqYp1WAI4A/kw1O7wVOA3Zqs/ycktdZbebPIr818VDJ/3nAa3q1/bLOGsAnySeej5LVTX4MPKfN8oeRTxAXkIHsNvLJ3TZDbOMVZT/fP+jrxoMHDx76MTgmjX77ZR3HJA9jNviNk00pkj4KfAZ4UUT8sUybST7dOzoiZg8ud9ZSuojdHdg8muuam5lNeI5JE4NjkrW4O3Kbar5ANib95KAzYs0kvRB4HTDbAcrMJjnHpHHOMcmqXHCyKSUiFpM9/fxe0pqDzo812gA4Cjh+0BkxM+snx6QJwTHJnuDuyG3KiYjzgfMHnQ9rFhGnA6cPOh9mZmPBMWl8c0yyKrdxMjMzMzMz68BV9czMzMzMzDpwwcnMzMzMzKwDF5zMzMzMzMw6cMHJzMzMzMysAxeczMzMzMzMOnDByczMzMzMrAMXnMzMzMzMzDpwwcnMzMzMzKwDF5zMzMzMzMw6cMHJzMzMzMysAxeczMzMzMzMOnDByczMzMzMrAMXnMzMzMzMzDr4/16rixERNlCBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 284,
       "width": 423
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 284,
       "width": 423
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cph.check_assumptions(rossi, p_value_threshold=0.05, show_plots=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, you can use the proportional hazard test outside of `check_assumptions`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<lifelines.StatisticalResult>\n",
      "         test_name = proportional_hazard_test\n",
      "    time_transform = rank\n",
      " null_distribution = chi squared\n",
      "degrees_of_freedom = 1\n",
      "             model = untransformed variables\n",
      "\n",
      "---\n",
      "      test_statistic     p  -log2(p)\n",
      "age           11.094 0.001    10.173\n",
      "fin            0.017 0.896     0.158\n",
      "mar            0.666 0.414     1.271\n",
      "paro           0.138 0.711     0.493\n",
      "prio           0.023 0.881     0.183\n",
      "race           1.462 0.227     2.141\n",
      "wexp           7.180 0.007     7.084\n"
     ]
    }
   ],
   "source": [
    "from lifelines.statistics import proportional_hazard_test\n",
    "\n",
    "results = proportional_hazard_test(cph, rossi, time_transform='rank')\n",
    "results.print_summary(decimals=3, model=\"untransformed variables\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Stratification\n",
    "\n",
    "\n",
    "In the advice above, we can see that `wexp` has small cardinality, so we can easily fix that by specifying it in the `strata`. What does the `strata` do? Let's go back to the proportional hazard assumption.\n",
    "\n",
    "In the introduction, we said that the proportional hazard assumption was that \n",
    "\n",
    "$$ h_i(t) = a_i h(t)$$\n",
    "\n",
    "In a simple case, it may be that there are two subgroups that have _very_ different baseline hazards. That is, we can split the dataset into subsamples based on some variable (we call this the stratifying variable), run the Cox model on all subsamples, and compare their baseline hazards. If these baseline hazards are _very_ different, then clearly the formula above is wrong - the $h(t)$ is some weighted average of the subgroups' baseline hazards. This ill fitting average baseline can cause $a_i$ to have time-dependent influence. A better model might be:\n",
    "\n",
    "$$ h_{i |i\\in G}(t) = a_i h_G(t)$$\n",
    "\n",
    "where now we have a unique baseline hazard _per_ subgroup $G$. Because of the way the Cox model is designed, inference of the coefficients is identical (expect now there are more baseline hazards, and no variation of the stratifying variable within a subgroup $G$). \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<lifelines.CoxPHFitter: fitted with 432 observations, 318 censored>\n",
      "      duration col = 'week'\n",
      "         event col = 'arrest'\n",
      "            strata = ['wexp']\n",
      "number of subjects = 432\n",
      "  number of events = 114\n",
      "    log-likelihood = -580.89\n",
      "  time fit was run = 2019-04-03 02:39:34 UTC\n",
      "             model = wexp in strata\n",
      "\n",
      "\n",
      "---\n",
      "      coef exp(coef)  se(coef)     z      p  -log2(p)  lower 0.95  upper 0.95\n",
      "fin  -0.38      0.68      0.19 -1.99   0.05      4.42       -0.76       -0.01\n",
      "age  -0.06      0.94      0.02 -2.64   0.01      6.91       -0.10       -0.01\n",
      "race  0.31      1.36      0.31  1.00   0.32      1.65       -0.30        0.91\n",
      "mar  -0.45      0.64      0.38 -1.19   0.23      2.09       -1.20        0.29\n",
      "paro -0.08      0.92      0.20 -0.42   0.67      0.57       -0.47        0.30\n",
      "prio  0.09      1.09      0.03  3.16 <0.005      9.33        0.03        0.15\n",
      "---\n",
      "Concordance = 0.61\n",
      "Log-likelihood ratio test = 172.71 on 6 df, -log2(p)=112.69\n"
     ]
    }
   ],
   "source": [
    "cph.fit(rossi, 'week', 'arrest', strata=['wexp'])\n",
    "cph.print_summary(model=\"wexp in strata\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The ``p_value_threshold`` is set at 0.01. Even under the null hypothesis of no violations, some\n",
      "covariates will be below the threshold by chance. This is compounded when there are many covariates.\n",
      "Similarly, when there are lots of observations, even minor deviances from the proportional hazard\n",
      "assumption will be flagged.\n",
      "\n",
      "With that in mind, it's best to use a combination of statistical tests and visual tests to determine\n",
      "the most serious violations. Produce visual plots using ``check_assumptions(..., show_plots=True)``\n",
      "and looking for non-constant lines. See link [A] below for a full example.\n",
      "\n",
      "<lifelines.StatisticalResult>\n",
      "         test_name = proportional_hazard_test\n",
      " null_distribution = chi squared\n",
      "degrees_of_freedom = 1\n",
      "\n",
      "---\n",
      "           test_statistic      p  -log2(p)\n",
      "age  km             11.29 <0.005     10.32\n",
      "     rank            4.62   0.03      4.99\n",
      "fin  km              0.02   0.90      0.16\n",
      "     rank            0.05   0.83      0.28\n",
      "mar  km              0.53   0.47      1.10\n",
      "     rank            1.31   0.25      1.99\n",
      "paro km              0.09   0.76      0.40\n",
      "     rank            0.00   0.97      0.05\n",
      "prio km              0.02   0.89      0.16\n",
      "     rank            0.02   0.90      0.16\n",
      "race km              1.47   0.23      2.15\n",
      "     rank            0.64   0.42      1.23\n",
      "\n",
      "\n",
      "1. Variable 'age' failed the non-proportional test: p-value is 0.0008.\n",
      "\n",
      "   Advice 1: the functional form of the variable 'age' might be incorrect. That is, there may be\n",
      "non-linear terms missing. The proportional hazard test used is very sensitive to incorrect\n",
      "functional forms. See documentation in link [D] below on how to specify a functional form.\n",
      "\n",
      "   Advice 2: try binning the variable 'age' using pd.cut, and then specify it in `strata=['age',\n",
      "...]` in the call in `.fit`. See documentation in link [B] below.\n",
      "\n",
      "   Advice 3: try adding an interaction term with your time variable. See documentation in link [C]\n",
      "below.\n",
      "\n",
      "\n",
      "---\n",
      "[A]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html\n",
      "[B]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Bin-variable-and-stratify-on-it\n",
      "[C]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Introduce-time-varying-covariates\n",
      "[D]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Modify-the-functional-form\n",
      "[E]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Stratification\n",
      "\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 284,
       "width": 423
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cph.check_assumptions(rossi, show_plots=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since `age` is still violating the proportional hazard assumption, we need to model it better.  From the residual plots above, we can see a the effect of age start to become negative over time. This will be relevant later. Below, we present three options to handle `age`. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Modify the functional form\n",
    "\n",
    "The proportional hazard test is very sensitive (i.e. lots of false positives) when the functional form of a variable is incorrect. For example, if the association between a covariate and the log-hazard is non-linear, but the model has only a linear term included, then the proportional hazard test can raise a false positive. \n",
    "\n",
    "The modeller can choose to add quadratic or cubic terms, i.e:\n",
    "```\n",
    "rossi['age**2'] = (rossi['age'] - rossi['age'].mean())**2\n",
    "rossi['age**3'] = (rossi['age'] - rossi['age'].mean())**3\n",
    "```\n",
    "\n",
    "but I think a more correct way to include non-linear terms is to use splines. Both Patsy and zEpid provide functionality for splines (tutorial incoming), but let's stick with the form above. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<lifelines.CoxPHFitter: fitted with 432 observations, 318 censored>\n",
      "      duration col = 'week'\n",
      "         event col = 'arrest'\n",
      "            strata = ['wexp']\n",
      "number of subjects = 432\n",
      "  number of events = 114\n",
      "    log-likelihood = -579.37\n",
      "  time fit was run = 2019-04-03 02:39:36 UTC\n",
      "             model = quad and cubic age terms\n",
      "\n",
      "\n",
      "---\n",
      "        coef exp(coef)  se(coef)     z      p  -log2(p)  lower 0.95  upper 0.95\n",
      "fin    -0.37      0.69      0.19 -1.93   0.05      4.24       -0.75        0.00\n",
      "age    -0.06      0.94      0.03 -1.85   0.06      3.95       -0.13        0.00\n",
      "race    0.35      1.42      0.31  1.13   0.26      1.95       -0.26        0.95\n",
      "mar    -0.39      0.68      0.38 -1.02   0.31      1.70       -1.15        0.36\n",
      "paro   -0.10      0.90      0.20 -0.52   0.60      0.74       -0.49        0.28\n",
      "prio    0.09      1.10      0.03  3.22 <0.005      9.59        0.04        0.15\n",
      "age**2  0.01      1.01      0.00  1.57   0.12      3.09       -0.00        0.02\n",
      "age**3 -0.00      1.00      0.00 -0.89   0.37      1.42       -0.00        0.00\n",
      "---\n",
      "Concordance = 0.62\n",
      "Log-likelihood ratio test = 175.75 on 8 df, -log2(p)=109.94\n",
      "\n",
      "The ``p_value_threshold`` is set at 0.05. Even under the null hypothesis of no violations, some\n",
      "covariates will be below the threshold by chance. This is compounded when there are many covariates.\n",
      "Similarly, when there are lots of observations, even minor deviances from the proportional hazard\n",
      "assumption will be flagged.\n",
      "\n",
      "With that in mind, it's best to use a combination of statistical tests and visual tests to determine\n",
      "the most serious violations. Produce visual plots using ``check_assumptions(..., show_plots=True)``\n",
      "and looking for non-constant lines. See link [A] below for a full example.\n",
      "\n",
      "<lifelines.StatisticalResult>\n",
      "         test_name = proportional_hazard_test\n",
      " null_distribution = chi squared\n",
      "degrees_of_freedom = 1\n",
      "\n",
      "---\n",
      "             test_statistic    p  -log2(p)\n",
      "age    km              0.96 0.33      1.62\n",
      "       rank            4.09 0.04      4.54\n",
      "age**2 km              1.81 0.18      2.48\n",
      "       rank            0.79 0.37      1.42\n",
      "age**3 km              2.33 0.13      2.98\n",
      "       rank            0.03 0.87      0.19\n",
      "fin    km              0.03 0.87      0.20\n",
      "       rank            0.02 0.90      0.15\n",
      "mar    km              0.53 0.47      1.10\n",
      "       rank            0.94 0.33      1.59\n",
      "paro   km              0.20 0.66      0.60\n",
      "       rank            0.01 0.93      0.10\n",
      "prio   km              0.02 0.88      0.19\n",
      "       rank            0.01 0.90      0.15\n",
      "race   km              1.28 0.26      1.96\n",
      "       rank            0.47 0.49      1.02\n",
      "\n",
      "\n",
      "1. Variable 'age' failed the non-proportional test: p-value is 0.0431.\n",
      "\n",
      "   Advice 1: the functional form of the variable 'age' might be incorrect. That is, there may be\n",
      "non-linear terms missing. The proportional hazard test used is very sensitive to incorrect\n",
      "functional forms. See documentation in link [D] below on how to specify a functional form.\n",
      "\n",
      "   Advice 2: try binning the variable 'age' using pd.cut, and then specify it in `strata=['age',\n",
      "...]` in the call in `.fit`. See documentation in link [B] below.\n",
      "\n",
      "   Advice 3: try adding an interaction term with your time variable. See documentation in link [C]\n",
      "below.\n",
      "\n",
      "\n",
      "---\n",
      "[A]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html\n",
      "[B]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Bin-variable-and-stratify-on-it\n",
      "[C]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Introduce-time-varying-covariates\n",
      "[D]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Modify-the-functional-form\n",
      "[E]  https://lifelines.readthedocs.io/en/latest/jupyter_notebooks/Proportional%20hazard%20assumption.html#Stratification\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 284,
       "width": 422
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rossi_higher_order_age = rossi.copy()\n",
    "rossi_higher_order_age['age'] = rossi_higher_order_age['age'] - rossi_higher_order_age['age'].mean()\n",
    "rossi_higher_order_age['age**2'] = (rossi_higher_order_age['age'] - rossi_higher_order_age['age'].mean())**2\n",
    "rossi_higher_order_age['age**3'] = (rossi_higher_order_age['age'] - rossi_higher_order_age['age'].mean())**3\n",
    "\n",
    "cph.fit(rossi_higher_order_age, 'week', 'arrest', strata=['wexp'])\n",
    "cph.print_summary(model=\"quad and cubic age terms\"); print()\n",
    "cph.check_assumptions(rossi_higher_order_age, show_plots=True, p_value_threshold=0.05)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see we still have potentially _some_ violation, but it's a heck of a lot less. Also, interestingly, when we include these non-linear terms for `age`, the `wexp` proportionality violation disappears. It is not uncommon to see changing the functional form of one variable effects other's proportional tests, usually positively. So, we could remove the `strata=['wexp']` if we wished. \n",
    "\n",
    "#### Bin variable and stratify on it\n",
    "\n",
    "\n",
    "The second option proposed is to bin the variable into equal-sized bins, and stratify like we did with `wexp`. There is a trade off here between estimation and information-loss. If we have large bins, we will lose information (since different values are now binned together), but we need to estimate less new baseline hazards. On the other hand, with tiny bins, we allow the `age` data to have the most \"wiggle room\", but must compute many baseline hazards each of which has a smaller sample size. Like most things, the optimial value is somewhere inbetween."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>age_strata</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>27</td>\n",
       "      <td>(24, 27]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>(15, 18]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19</td>\n",
       "      <td>(18, 21]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23</td>\n",
       "      <td>(21, 24]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>(18, 21]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age age_strata\n",
       "0   27   (24, 27]\n",
       "1   18   (15, 18]\n",
       "2   19   (18, 21]\n",
       "3   23   (21, 24]\n",
       "4   19   (18, 21]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rossi_strata_age = rossi.copy()\n",
    "rossi_strata_age['age_strata'] = pd.cut(rossi_strata_age['age'], np.arange(0, 80, 3))\n",
    "\n",
    "rossi_strata_age[['age', 'age_strata']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<lifelines.CoxPHFitter: fitted with 432 observations, 318 censored>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop the orignal, redundant, age column\n",
    "rossi_strata_age = rossi_strata_age.drop('age', axis=1)\n",
    "cph.fit(rossi_strata_age, 'week', 'arrest', strata=['age_strata', 'wexp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<lifelines.CoxPHFitter: fitted with 432 observations, 318 censored>\n",
      "      duration col = 'week'\n",
      "         event col = 'arrest'\n",
      "            strata = ['age_strata', 'wexp']\n",
      "number of subjects = 432\n",
      "  number of events = 114\n",
      "    log-likelihood = -392.443\n",
      "  time fit was run = 2019-04-03 02:39:37 UTC\n",
      "             model = stratified age and wexp\n",
      "\n",
      "\n",
      "---\n",
      "       coef exp(coef)  se(coef)      z     p  -log2(p)  lower 0.95  upper 0.95\n",
      "fin  -0.395     0.674     0.197 -2.004 0.045     4.472      -0.781      -0.009\n",
      "race  0.280     1.324     0.313  0.895 0.371     1.431      -0.334       0.895\n",
      "mar  -0.194     0.824     0.392 -0.494 0.621     0.687      -0.961       0.574\n",
      "paro -0.163     0.849     0.200 -0.818 0.413     1.275      -0.555       0.228\n",
      "prio  0.080     1.084     0.028  2.854 0.004     7.857       0.025       0.135\n",
      "---\n",
      "Concordance = 0.582\n",
      "Log-likelihood ratio test = 532.244 on 5 df, -log2(p)=372.252\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x120e05828>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 380
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cph.print_summary(3, model=\"stratified age and wexp\")\n",
    "cph.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Proportional hazard assumption looks okay.\n"
     ]
    }
   ],
   "source": [
    "cph.check_assumptions(rossi_strata_age)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Introduce time-varying covariates\n",
    "\n",
    "Our second option to correct variables that violate the proportional hazard assumption is to model the time-varying component directly. This is done in two steps. The first is to transform your dataset into _episodic format_. This means that we split a subject from a single row into $n$ new rows, and each new row represents some time period for the subject. It's okay that the variables are static over this new time periods - we'll introduce some time-varying covariates later.\n",
    "\n",
    "See below for how to do this in _lifelines_:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stop</th>\n",
       "      <th>start</th>\n",
       "      <th>arrest</th>\n",
       "      <th>age</th>\n",
       "      <th>fin</th>\n",
       "      <th>id</th>\n",
       "      <th>mar</th>\n",
       "      <th>paro</th>\n",
       "      <th>prio</th>\n",
       "      <th>race</th>\n",
       "      <th>wexp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    stop  start  arrest  age  fin  id  mar  paro  prio  race  wexp\n",
       "0    1.0    0.0       0   27    0   0    0     1     3     1     0\n",
       "1    2.0    1.0       0   27    0   0    0     1     3     1     0\n",
       "2    3.0    2.0       0   27    0   0    0     1     3     1     0\n",
       "3    4.0    3.0       0   27    0   0    0     1     3     1     0\n",
       "4    5.0    4.0       0   27    0   0    0     1     3     1     0\n",
       "5    6.0    5.0       0   27    0   0    0     1     3     1     0\n",
       "6    7.0    6.0       0   27    0   0    0     1     3     1     0\n",
       "7    8.0    7.0       0   27    0   0    0     1     3     1     0\n",
       "8    9.0    8.0       0   27    0   0    0     1     3     1     0\n",
       "9   10.0    9.0       0   27    0   0    0     1     3     1     0\n",
       "10  11.0   10.0       0   27    0   0    0     1     3     1     0\n",
       "11  12.0   11.0       0   27    0   0    0     1     3     1     0\n",
       "12  13.0   12.0       0   27    0   0    0     1     3     1     0\n",
       "13  14.0   13.0       0   27    0   0    0     1     3     1     0\n",
       "14  15.0   14.0       0   27    0   0    0     1     3     1     0\n",
       "15  16.0   15.0       0   27    0   0    0     1     3     1     0\n",
       "16  17.0   16.0       0   27    0   0    0     1     3     1     0\n",
       "17  18.0   17.0       0   27    0   0    0     1     3     1     0\n",
       "18  19.0   18.0       0   27    0   0    0     1     3     1     0\n",
       "19  20.0   19.0       1   27    0   0    0     1     3     1     0\n",
       "20   1.0    0.0       0   18    0   1    0     1     8     1     0\n",
       "21   2.0    1.0       0   18    0   1    0     1     8     1     0\n",
       "22   3.0    2.0       0   18    0   1    0     1     8     1     0\n",
       "23   4.0    3.0       0   18    0   1    0     1     8     1     0\n",
       "24   5.0    4.0       0   18    0   1    0     1     8     1     0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from lifelines.utils import to_episodic_format\n",
    "\n",
    "# the time_gaps parameter specifies how large or small you want the periods to be. \n",
    "rossi_long = to_episodic_format(rossi, duration_col='week', event_col='arrest', time_gaps=1.)\n",
    "rossi_long.head(25)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each subject is given a new id (but can be specified as well if already provided in the dataframe). This id is used to track subjects over time. Notice the `arrest` col is 0 for all periods prior to their (possible) event as well. \n",
    "\n",
    "Above I mentioned there were two steps to correct `age`. The first was to convert to a episodic format. The second is to create an interaction term between `age` and `stop`. This is a time-varying variable.\n",
    "\n",
    "Instead of `CoxPHFitter`, we must use `CoxTimeVaryingFitter` instead since we are working with a episodic dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "rossi_long['time*age'] = rossi_long['age'] * rossi_long['stop']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<lifelines.CoxTimeVaryingFitter: fitted with 19809 periods, 432 subjects, 114 events>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from lifelines import CoxTimeVaryingFitter\n",
    "ctv = CoxTimeVaryingFitter()\n",
    "\n",
    "ctv.fit(rossi_long, \n",
    "        id_col='id', \n",
    "        event_col='arrest', \n",
    "        start_col='start', \n",
    "        stop_col='stop', \n",
    "        strata=['wexp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<lifelines.CoxTimeVaryingFitter: fitted with 19809 periods, 432 subjects, 114 events>\n",
      "         event col = 'arrest'\n",
      "            strata = ['wexp']\n",
      "number of subjects = 432\n",
      " number of periods = 19809\n",
      "  number of events = 114\n",
      "    log-likelihood = -575.080\n",
      "  time fit was run = 2019-04-03 02:39:41 UTC\n",
      "             model = age * time interaction\n",
      "\n",
      "\n",
      "---\n",
      "           coef exp(coef)  se(coef)      z     p  -log2(p)  lower 0.95  upper 0.95\n",
      "age       0.073     1.075     0.040  1.830 0.067     3.893      -0.005       0.151\n",
      "fin      -0.386     0.680     0.191 -2.018 0.044     4.520      -0.760      -0.011\n",
      "mar      -0.397     0.672     0.382 -1.039 0.299     1.743      -1.147       0.352\n",
      "paro     -0.098     0.907     0.196 -0.501 0.616     0.698      -0.481       0.285\n",
      "prio      0.090     1.094     0.029  3.152 0.002     9.267       0.034       0.146\n",
      "race      0.295     1.343     0.308  0.955 0.340     1.558      -0.310       0.899\n",
      "time*age -0.005     0.995     0.002 -3.337 0.001    10.203      -0.008      -0.002\n",
      "---\n",
      "Log-likelihood ratio test = -1150.160 on 7 df, -log2(p)=-0.000\n"
     ]
    }
   ],
   "source": [
    "ctv.print_summary(3, model=\"age * time interaction\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x120d96c88>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 263,
       "width": 410
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ctv.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the above scaled Schoenfeld residual plots for `age`, we can see there is a slight negative effect for higher time values. This is confirmed in the output of the `CoxTimeVaryingFitter`: we see that the coefficient for `time*age` is -0.005.\n",
    "\n",
    "#### Conclusion\n",
    "\n",
    "The point estimates and the standard errors are very close to each other using either option, we can feel confident that either approach is okay to proceed. "
   ]
  }
 ],
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    "version": 3
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
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